Triple
T13933304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Die Hart |
E335045
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Tripper Clancy |
E1069924
|
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: Tripper Clancy | Statement: [Die Hart, executiveProducer, Tripper Clancy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tripper Clancy Context triple: [Die Hart, executiveProducer, Tripper Clancy]
-
A.
Tripper Clancy
chosen
Tripper Clancy is an American screenwriter and producer known for creating the action-comedy series "Die Hart" and writing films such as "Stuber" and "Vacation Friends."
-
B.
Danny Tripp
Danny Tripp is a fictional television producer and recovering addict who serves as one of the central characters on the TV series "Studio 60 on the Sunset Strip."
-
C.
Cole Trickle
Cole Trickle is a fictional NASCAR driver portrayed by Tom Cruise in the 1990 racing film "Days of Thunder."
-
D.
Tripper Harrison
Tripper Harrison is the wisecracking, laid-back camp counselor played by Bill Murray in the 1979 comedy film "Meatballs."
-
E.
Trey
Trey is the commonly used nickname of American attorney and former U.S. Congressman Trey Gowdy, known for his role in high-profile congressional investigations.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf28df081908d897d7b9ec7939d |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1c81e988190a5fd8e2d83e065fe |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:17 p.m.