Triple
T20281337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed Corney |
E503150
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ed Corney |
—
|
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: Ed Corney | Statement: [Ed Corney, name, Ed Corney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ed Corney Context triple: [Ed Corney, name, Ed Corney]
-
A.
Ed Corney
chosen
Ed Corney was a renowned American bodybuilder celebrated for his classic posing style and prominent appearance alongside Arnold Schwarzenegger in the documentary "Pumping Iron."
-
B.
Phil Cunningham
Phil Cunningham is an English guitarist and keyboardist best known for his work with the band New Order and previously with Marion.
-
C.
Doug Coughlin
Doug Coughlin is a fictional, hard-drinking mentor bartender from the 1988 film "Cocktail," known for his cynical life maxims and influence on the protagonist.
-
D.
Phil Dusenberry
Phil Dusenberry was an influential American advertising executive and creative director, best known for his groundbreaking work at BBDO and for shaping major campaigns for brands like Pepsi.
-
E.
Eric Rogers
Eric Rogers was a British composer and conductor best known for scoring many of the "Carry On" comedy films.
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6768e9f0881909c8fe8772dafd468 |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 10:38 a.m.