Triple
T12332027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Perfect Storm |
E293984
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Emile Haynie |
E70557
|
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: Emile Haynie | Statement: [The Perfect Storm, producer, Emile Haynie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emile Haynie Context triple: [The Perfect Storm, producer, Emile Haynie]
-
A.
Emile Haynie
chosen
Emile Haynie is a Grammy-winning American record producer known for his work with artists such as Kanye West, Lana Del Rey, and Eminem.
-
B.
Holden McNeil
Holden McNeil is a comic book artist and the introspective, romantically conflicted protagonist of Kevin Smith’s film "Chasing Amy."
-
C.
Chris Harris Jr.
Chris Harris Jr. is an American football cornerback best known for his Pro Bowl and All-Pro career with the Denver Broncos, including helping the team win Super Bowl 50.
-
D.
Carson Drew
Carson Drew is Nancy Drew’s intelligent and supportive lawyer father in the classic mystery book series.
-
E.
Jamel Jones
Jamel Jones is a criminal figure known for his involvement with the Nine Trey Gangsta Bloods street gang.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f634ee08190b4f533505d402219 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6346a3f34819091882004ab558347 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:53 p.m.