Triple
T20741714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pitch Black |
E510457
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Tom Engelman
Tom Engelman is a film producer best known for his work on the science fiction horror movie "Pitch Black."
|
E1546798
|
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: [Pitch Black, producer, Tom Engelman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Engelman Context triple: [Pitch Black, producer, Tom Engelman]
-
A.
Tom Engelman
Tom Engelman is a screenwriter best known for his work on the film "The Temp."
-
B.
Bob Engelman
Bob Engelman is a film producer best known for working on major Hollywood movies, including the hit comedy "The Mask."
-
C.
Robert Engelman
Robert Engelman is a film producer known for his work on major Hollywood genre films, including action, science fiction, and fantasy projects.
-
D.
Tom Engel
Tom Engel is the young boy protagonist in the 2015 horror-comedy film "Krampus," whose loss of Christmas spirit triggers the arrival of the folkloric monster.
-
E.
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.
- 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: [Pitch Black, producer, Tom Engelman]
Generated description
Tom Engelman is a film producer best known for his work on the science fiction horror movie "Pitch Black."
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 horror movie "Pitch Black."
-
A.
Tom Engelman
Tom Engelman is a screenwriter best known for his work on the film "The Temp."
-
B.
Bob Engelman
Bob Engelman is a film producer best known for working on major Hollywood movies, including the hit comedy "The Mask."
-
C.
Robert Engelman
Robert Engelman is a film producer known for his work on major Hollywood genre films, including action, science fiction, and fantasy projects.
-
D.
Tom Engel
Tom Engel is the young boy protagonist in the 2015 horror-comedy film "Krampus," whose loss of Christmas spirit triggers the arrival of the folkloric monster.
-
E.
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.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20f9670819082199de21a8d9818 |
completed | April 21, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b5844337081908aef20e35afd6233 |
completed | May 18, 2026, 6:19 p.m. |
| NEDg | Description generation | batch_6a0b6f5b85548190bd54f5a13dd27c5d |
completed | May 18, 2026, 7:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b7072e43c8190ad8f8d09f61d3f7b |
completed | May 18, 2026, 8:02 p.m. |
Created at: April 16, 2026, 12:33 p.m.