Triple
T10682354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Ward |
E251788
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Mike Marcus
Mike Marcus is a film producer known for his work on the science fiction horror movie "The Ward."
|
E878894
|
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: Mike Marcus | Statement: [The Ward, producer, Mike Marcus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Marcus Context triple: [The Ward, producer, Mike Marcus]
-
A.
Andrew Marcus
Andrew Marcus is a film editor best known for his work on major feature films, including Kenneth Branagh’s adaptation of "Much Ado About Nothing."
-
B.
Andrew Marcus
Andrew Marcus is a literary editor known for preparing an edition of E. M. Forster’s novel "Howards End."
-
C.
Larry Marcus
Larry Marcus was an American screenwriter best known for his work on classic mid-20th-century films, including the adaptation of Agatha Christie's "Witness for the Prosecution."
-
D.
Bruce Mehlman
Bruce Mehlman is an American public policy strategist and lobbyist known for his work in technology policy and for co-founding the bipartisan consulting firm Mehlman Castagnetti Rosen & Thomas.
-
E.
Ben Demaree
Ben Demaree is a cinematographer and filmmaker known for his work on low-budget genre films, including fantasy and science fiction titles.
- 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: Mike Marcus Triple: [The Ward, producer, Mike Marcus]
Generated description
Mike Marcus is a film producer known for his work on the science fiction horror movie "The Ward."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Marcus Target entity description: Mike Marcus is a film producer known for his work on the science fiction horror movie "The Ward."
-
A.
Andrew Marcus
Andrew Marcus is a film editor best known for his work on major feature films, including Kenneth Branagh’s adaptation of "Much Ado About Nothing."
-
B.
Andrew Marcus
Andrew Marcus is a literary editor known for preparing an edition of E. M. Forster’s novel "Howards End."
-
C.
Larry Marcus
Larry Marcus was an American screenwriter best known for his work on classic mid-20th-century films, including the adaptation of Agatha Christie's "Witness for the Prosecution."
-
D.
Bruce Mehlman
Bruce Mehlman is an American public policy strategist and lobbyist known for his work in technology policy and for co-founding the bipartisan consulting firm Mehlman Castagnetti Rosen & Thomas.
-
E.
Ben Demaree
Ben Demaree is a cinematographer and filmmaker known for his work on low-budget genre films, including fantasy and science fiction titles.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc30be481909922844b539b622d |
completed | April 9, 2026, 1:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9888cf7b481909de6a4fecb48cf4b |
completed | April 10, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69d98aea391c81909ec64a29053c35c1 |
completed | April 10, 2026, 11:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d98c013348819094bde38a057257b4 |
completed | April 10, 2026, 11:47 p.m. |
Created at: April 8, 2026, 9:10 p.m.