Triple
T23477586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Numb3rs |
E570307
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Ridley Scott |
—
|
NE NERFINISHED |
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: Ridley Scott | Statement: [Numb3rs, executiveProducer, Ridley Scott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ridley Scott Context triple: [Numb3rs, executiveProducer, Ridley Scott]
-
A.
Ridley Scott
chosen
Ridley Scott is a renowned British film director and producer known for visually striking and influential works such as Alien, Blade Runner, and Gladiator.
-
B.
Wolfgang Petersen
Wolfgang Petersen was a German film director known for acclaimed works such as "Das Boot," "In the Line of Fire," and "Air Force One."
-
C.
Tony Scott
Tony Scott was a British film director and producer known for high-energy, visually dynamic action films such as "Top Gun," "Crimson Tide," and "Man on Fire."
-
D.
Bob Ridley
Bob Ridley is an American soccer coach best known for managing the Dallas Tornado in the North American Soccer League.
-
E.
Marcus Reiner
Marcus Reiner was an influential engineer and physicist renowned for his pioneering contributions to rheology, the study of the flow and deformation of matter.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a74dbea8819085ca84391039e7f7 |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:02 p.m.