Triple

T10201660
Position Surface form Disambiguated ID Type / Status
Subject The Chronicles of Riddick E238896 entity
Predicate producer P490 FINISHED
Object Tom Engelman
Tom Engelman is a film producer best known for his work on the science fiction action movie "The Chronicles of Riddick."
 E530522 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: Tom Engelman | Statement: [The Chronicles of Riddick, producer, Tom Engelman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tom Engelman
Context triple: [The Chronicles of Riddick, producer, Tom Engelman]
  • A. Bob Engelman
    Bob Engelman is a film producer best known for working on major Hollywood movies, including the hit comedy "The Mask."
  • B. Robert Engelman
    Robert Engelman is a film producer known for his work on major Hollywood genre films, including action, science fiction, and fantasy projects.
  • C. Johnny Gandelsman
    Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
  • D. Mark Rosenthal
    Mark Rosenthal is an American screenwriter known for co-writing major Hollywood films, including contributing to the story for "Star Trek VI: The Undiscovered Country."
  • E. Dan Gershon
    Dan Gershon is known as the brother of American actress Gina Gershon.
  • 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: Tom Engelman
Triple: [The Chronicles of Riddick, producer, Tom Engelman]
Generated description
Tom Engelman is a film producer best known for his work on the science fiction action movie "The Chronicles of Riddick."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tom Engelman
Target entity description: Tom Engelman is a film producer best known for his work on the science fiction action movie "The Chronicles of Riddick."
  • A. Bob Engelman
    Bob Engelman is a film producer best known for working on major Hollywood movies, including the hit comedy "The Mask."
  • B. Robert Engelman chosen
    Robert Engelman is a film producer known for his work on major Hollywood genre films, including action, science fiction, and fantasy projects.
  • C. Johnny Gandelsman
    Johnny Gandelsman is a Grammy-winning violinist and producer known for his work with ensembles like Brooklyn Rider and the Silk Road Ensemble, as well as for his innovative solo projects.
  • D. Mark Rosenthal
    Mark Rosenthal is an American screenwriter known for co-writing major Hollywood films, including contributing to the story for "Star Trek VI: The Undiscovered Country."
  • E. Dan Gershon
    Dan Gershon is known as the brother of American actress Gina Gershon.
  • F. None of above.

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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee40cb7481908a1bf4d5636eb8ef completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff74d59f88190bbd975521b16ae49 completed April 15, 2026, 8:38 p.m.
NEDg Description generation batch_69e0b498df2481908c964d53b1782774 completed April 16, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_69e11e21fc2c8190878a877ecd3b465e completed April 16, 2026, 5:36 p.m.
Created at: March 30, 2026, 9:14 p.m.