Triple
T18336073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shawn Rhoden |
E439272
|
entity |
| Predicate | defeated |
P4779
|
FINISHED |
| Object | Phil Heath |
—
|
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: Phil Heath | Statement: [Shawn Rhoden, defeated, Phil Heath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phil Heath Context triple: [Shawn Rhoden, defeated, Phil Heath]
-
A.
Phil Heath
chosen
Phil Heath is an American professional bodybuilder renowned for winning multiple consecutive Mr. Olympia titles and being one of the most dominant champions in modern bodybuilding history.
-
B.
Jeffrey Heath
Jeffrey Heath is a linguist renowned for his extensive fieldwork and documentation of Dogon and other African languages.
-
C.
James Heath
James Heath is a relatively common personal name shared by multiple individuals across various professions, including politics, sports, and the arts.
-
D.
Paul Hager
Paul Hager is a relatively obscure individual whose primary public mention appears to be as a namesake in reference data, with no widely documented achievements or biography.
-
E.
Curtis Heath
Curtis Heath is a film composer and musician known for creating the score for the indie comedy-drama "Support the Girls."
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ecd759481909703ed2d0d68199f |
completed | April 19, 2026, 5:20 p.m. |
Created at: April 10, 2026, 10:37 a.m.