Triple
T1225891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dreamgirls |
E26325
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Laurence Mark |
E184693
|
NE FINISHED |
How this triple was built (2 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: Laurence Mark | Statement: [Dreamgirls, producer, Laurence Mark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurence Mark Context triple: [Dreamgirls, producer, Laurence Mark]
-
A.
Laurence Mark
chosen
Laurence Mark is an American film and television producer known for projects such as "Jerry Maguire," "Dreamgirls," and numerous other major Hollywood productions.
-
B.
Nicholas Beauman
Nicholas Beauman is a British editor and publisher known for championing and reissuing neglected literary works, particularly through the imprint Persephone Books.
-
C.
Michael V. Drake
Michael V. Drake is an American academic leader and physician who has served as president of both The Ohio State University and the University of California system.
-
D.
John Leeson
John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
-
E.
Colin Prockter
Colin Prockter is a British character actor known for his numerous supporting roles in film and television, including an appearance in the crime comedy film "The Gentlemen."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be39908481908cca21aaf0828415 |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3ab00888190afc7c54d9b89ae3b |
completed | March 8, 2026, 10:09 p.m. |
Created at: March 1, 2026, 7:47 p.m.