Triple
T15390714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Superstore |
E368035
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Ruben Fleischer |
E317575
|
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: Ruben Fleischer | Statement: [Superstore, executiveProducer, Ruben Fleischer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ruben Fleischer Context triple: [Superstore, executiveProducer, Ruben Fleischer]
-
A.
Ruben Fleischer
chosen
Ruben Fleischer is an American film director and producer best known for helming movies such as "Zombieland," "Venom," and other major Hollywood action-comedies.
-
B.
Peyton Reed
Peyton Reed is an American film director known for helming major studio comedies and Marvel superhero films, including entries in the Ant-Man series.
-
C.
Tim Miller
Tim Miller is a filmmaker best known for directing the blockbuster science fiction film "Deadpool" and later helming "Terminator: Dark Fate."
-
D.
Will Speck
Will Speck is an American film director best known for co-directing mainstream comedies such as "Blades of Glory" and "Office Christmas Party."
-
E.
David Slade
David Slade is a British film and television director known for his work in horror and thriller genres, including films like "Hard Candy," "30 Days of Night," and "The Twilight Saga: Eclipse."
- 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_69e03e7727a081908eff45bbc1633c8a |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a6d35148190aa4dc0c2a7bf849d |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:19 a.m.