Triple
T1963918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankenstein (National Theatre production) |
E42645
|
entity |
| Predicate | featuresActor |
P15562
|
FINISHED |
| Object |
Steven Elliott
Steven Elliott is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
|
E241599
|
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: Steven Elliott | Statement: [Frankenstein (National Theatre production), featuresActor, Steven Elliott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steven Elliott Context triple: [Frankenstein (National Theatre production), featuresActor, Steven Elliott]
-
A.
Joe Ellis
Joe Ellis is an American sports executive best known as the longtime president and CEO of the Denver Broncos in the National Football League.
-
B.
Sean Eldridge
Sean Eldridge is an American political activist, investor, and former congressional candidate known for his work on progressive causes and campaign finance reform.
-
C.
Douglas Kirk
Douglas Kirk is an individual notable enough to be recognized as a prominent bearer of the surname Kirk.
-
D.
Dave McCary
Dave McCary is an American writer, director, and comedian best known for his work on "Saturday Night Live" and for co-founding the sketch comedy group Good Neighbor.
-
E.
Mark Ellam
Mark Ellam is a cinematographer known for his work on the film "The Take."
- 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: Steven Elliott Triple: [Frankenstein (National Theatre production), featuresActor, Steven Elliott]
Generated description
Steven Elliott 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: Steven Elliott Target entity description: Steven Elliott is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
-
A.
Joe Ellis
Joe Ellis is an American sports executive best known as the longtime president and CEO of the Denver Broncos in the National Football League.
-
B.
Sean Eldridge
Sean Eldridge is an American political activist, investor, and former congressional candidate known for his work on progressive causes and campaign finance reform.
-
C.
Douglas Kirk
Douglas Kirk is an individual notable enough to be recognized as a prominent bearer of the surname Kirk.
-
D.
Dave McCary
Dave McCary is an American writer, director, and comedian best known for his work on "Saturday Night Live" and for co-founding the sketch comedy group Good Neighbor.
-
E.
Mark Ellam
Mark Ellam is a cinematographer known for his work on the film "The Take."
- 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_69ae5d81d0908190b2e1780a79a3def8 |
completed | March 9, 2026, 5:41 a.m. |
| NEDg | Description generation | batch_69ae5e027ea48190a052556d43c39f73 |
completed | March 9, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5ea4edcc81908829e4bd64ce0aea |
completed | March 9, 2026, 5:46 a.m. |
Created at: March 4, 2026, 7:36 p.m.