Triple
T1963916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankenstein (National Theatre production) |
E42645
|
entity |
| Predicate | featuresActor |
P15562
|
FINISHED |
| Object |
Daniel Millar
Daniel Millar is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
|
E218676
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Daniel Millar | Statement: [Frankenstein (National Theatre production), featuresActor, Daniel Millar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Millar Context triple: [Frankenstein (National Theatre production), featuresActor, Daniel Millar]
-
A.
Andrew Millar
Andrew Millar was an 18th-century Scottish-born London bookseller and publisher known for issuing major works of Enlightenment authors, including David Hume.
-
B.
Michael Coulter
Michael Coulter is a British cinematographer known for his work on popular films including the romantic comedy "Love Actually."
-
C.
Darren Gilshenan
Darren Gilshenan is an Australian actor and comedian known for his work in television, film, and theatre, particularly in character and comic roles.
-
D.
Adam Hann-Byrd
Adam Hann-Byrd is an American actor best known for his childhood role as a prodigy in the film "Little Man Tate."
-
E.
Rich Harris
Rich Harris is a software engineer and journalist best known for creating the Svelte JavaScript framework and his work on interactive data visualizations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Daniel Millar Triple: [Frankenstein (National Theatre production), featuresActor, Daniel Millar]
Generated description
Daniel Millar is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Daniel Millar Target entity description: Daniel Millar is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
-
A.
Andrew Millar
Andrew Millar was an 18th-century Scottish-born London bookseller and publisher known for issuing major works of Enlightenment authors, including David Hume.
-
B.
Michael Coulter
Michael Coulter is a British cinematographer known for his work on popular films including the romantic comedy "Love Actually."
-
C.
Darren Gilshenan
Darren Gilshenan is an Australian actor and comedian known for his work in television, film, and theatre, particularly in character and comic roles.
-
D.
Adam Hann-Byrd
Adam Hann-Byrd is an American actor best known for his childhood role as a prodigy in the film "Little Man Tate."
-
E.
Rich Harris
Rich Harris is a software engineer and journalist best known for creating the Svelte JavaScript framework and his work on interactive data visualizations.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a88711151c8190940b2572095059d7 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3ada4148190ad830d4a3d7fd662 |
completed | March 7, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbd32eb88190a2069b6490b12e5d |
completed | March 8, 2026, 10:44 p.m. |
| NEDg | Description generation | batch_69adfc5150e48190aa475798c790b767 |
completed | March 8, 2026, 10:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adfd10a6a88190818976d709d81596 |
completed | March 8, 2026, 10:49 p.m. |
Created at: March 4, 2026, 7:36 p.m.