Triple
T13993324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enrique |
E336634
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Steve Morales |
E252698
|
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: Steve Morales | Statement: [Enrique, producer, Steve Morales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Morales Context triple: [Enrique, producer, Steve Morales]
-
A.
Steve Morales
chosen
Steve Morales is a music producer known for his work in pop and dance genres, collaborating with various mainstream artists.
-
B.
Cory Finley
Cory Finley is an American filmmaker and playwright best known for his darkly comedic and psychologically driven films such as "Thoroughbreds" and "Bad Education."
-
C.
Michael Farris
Michael Farris is an American lawyer and conservative activist best known for his leadership in the Christian homeschooling movement and his role in founding and guiding Patrick Henry College.
-
D.
Kevin Morrison
Kevin Morrison is a former professional ice hockey player best known for his time in the World Hockey Association, including a notable stint with the San Diego Mariners.
-
E.
Mike Mitchell
Mike Mitchell is an American film director known for his work on animated and family films such as "Shrek Forever After," "Trolls," and "The Lego Movie 2: The Second Part."
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb3b5d881909f15a1e08bb202f3 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb652305c81908ea097d4f36a05c0 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:19 p.m.