Triple
T3671708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Praise (film) |
E77894
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Martha Coleman
Martha Coleman is a film producer known for her work on the British comedy-drama "Praise."
|
E377515
|
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: Martha Coleman | Statement: [Praise (film), producer, Martha Coleman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martha Coleman Context triple: [Praise (film), producer, Martha Coleman]
-
A.
Maria Hill
Maria Hill is a high-ranking S.H.I.E.L.D. operative and close ally of Nick Fury who frequently coordinates and supports the Avengers in the Marvel Cinematic Universe.
-
B.
Daisy Johnson
Daisy Johnson is a powerful Inhuman superhero and skilled S.H.I.E.L.D. agent in Marvel Comics, best known by the codename Quake for her seismic vibration abilities and leadership roles.
-
C.
Alex Scott
Alex Scott was an Australian actor known for his work in film and television, including a role in the controversial 1992 drama "Romper Stomper."
-
D.
Jo Grant
Jo Grant is a spirited and resourceful companion of the Third Doctor in the classic British science fiction series Doctor Who.
-
E.
Sue Storm
Sue Storm, also known as the Invisible Woman, is a core member of Marvel’s Fantastic Four who can become invisible and generate powerful force fields.
- 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: Martha Coleman Triple: [Praise (film), producer, Martha Coleman]
Generated description
Martha Coleman is a film producer known for her work on the British comedy-drama "Praise."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martha Coleman Target entity description: Martha Coleman is a film producer known for her work on the British comedy-drama "Praise."
-
A.
Maria Hill
Maria Hill is a high-ranking S.H.I.E.L.D. operative and close ally of Nick Fury who frequently coordinates and supports the Avengers in the Marvel Cinematic Universe.
-
B.
Daisy Johnson
Daisy Johnson is a powerful Inhuman superhero and skilled S.H.I.E.L.D. agent in Marvel Comics, best known by the codename Quake for her seismic vibration abilities and leadership roles.
-
C.
Alex Scott
Alex Scott was an Australian actor known for his work in film and television, including a role in the controversial 1992 drama "Romper Stomper."
-
D.
Jo Grant
Jo Grant is a spirited and resourceful companion of the Third Doctor in the classic British science fiction series Doctor Who.
-
E.
Sue Storm
Sue Storm, also known as the Invisible Woman, is a core member of Marvel’s Fantastic Four who can become invisible and generate powerful force fields.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42de1bc819090e19dd0805f13a1 |
completed | March 8, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b488526214819092abb95f7cf119d5 |
completed | March 13, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_69b48acb7dfc8190a862dce9a22c5c8f |
completed | March 13, 2026, 10:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4af280b688190a35a227f7581a9ae |
completed | March 14, 2026, 12:43 a.m. |
Created at: March 8, 2026, 3:25 p.m.