Triple
T5342828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margin Call |
E123982
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Tucker Tooley |
E321063
|
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: Tucker Tooley | Statement: [Margin Call, executiveProducer, Tucker Tooley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tucker Tooley Context triple: [Margin Call, executiveProducer, Tucker Tooley]
-
A.
Tucker Tooley
chosen
Tucker Tooley is an American film producer and executive known for backing commercially successful action and thriller movies in Hollywood.
-
B.
Tim Latta
Tim Latta is a soccer executive best known for serving as the general manager of the early Major League Soccer club Kansas City Wiz (now Sporting Kansas City).
-
C.
Steven M. Tipton
Steven M. Tipton is an American sociologist of religion and ethics known for his collaborative work on the role of religion and moral values in contemporary American life.
-
D.
Justin E. Driscoll
Justin E. Driscoll is an American energy executive who leads the New York Power Authority, the nation’s largest state-owned electric utility.
-
E.
Trent Luckinbill
Trent Luckinbill is an American film producer known for working on acclaimed movies such as the crime thriller "Sicario."
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85cc5a9881909e23bf9c5b697a8e |
completed | March 20, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18cc387c8190a9fe430fe5bb38ce |
completed | March 21, 2026, 10:16 p.m. |
Created at: March 20, 2026, 2:01 p.m.