Triple
T15385674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red, White and Blue |
E367909
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Anand Tucker |
E866751
|
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: Anand Tucker | Statement: [Red, White and Blue, producer, Anand Tucker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anand Tucker Context triple: [Red, White and Blue, producer, Anand Tucker]
-
A.
Anand Tucker
chosen
Anand Tucker is a British film director and producer known for works such as "Hilary and Jackie," "Shopgirl," and "Leap Year."
-
B.
Tal Anderson
Tal Anderson was a prominent Omaha businessman and philanthropist known for his significant contributions to local sports and community development.
-
C.
Hal Tucker
Hal Tucker is a supporting character in the 1993 action thriller film "Cliffhanger," serving as a fellow mountain rescue worker and close friend of protagonist Gabe Walker.
-
D.
Paul Hayes Tucker
Paul Hayes Tucker is an American art historian and curator best known for his scholarship on Impressionism, particularly the work of Claude Monet.
-
E.
Shifra Tendler
Shifra Tendler is a daughter of the prominent Orthodox rabbi and halachic authority Rabbi Moshe Feinstein.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e74ff70819094c1a85f51d6e228 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1349bad48190a31c50a0c5104128 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:19 a.m.