Triple
T1319890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Wilson |
E28192
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tony Wilson |
E28192
|
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: Tony Wilson | Statement: [Tony Wilson, name, Tony Wilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Wilson Context triple: [Tony Wilson, name, Tony Wilson]
-
A.
Tony Wilson
chosen
Tony Wilson was a British music impresario, journalist, and co-founder of Factory Records, instrumental in shaping Manchester’s post-punk and rave scenes.
-
B.
Artie Kane
Artie Kane is an American pianist, composer, and prolific film and television orchestrator known for his work on numerous Hollywood scores and TV movies.
-
C.
Jack Weinberg
Jack Weinberg is an American activist best known for his pivotal role in the 1964 Berkeley Free Speech Movement and for coining the phrase "Don't trust anyone over 30."
-
D.
John O’May
John O’May is an actor known for his role in the Australian musical comedy film "Starstruck" (1982).
-
E.
Mike Krieger
Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c179883c8190b68fbeebb9696982 |
completed | March 1, 2026, 10:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbaf6a6d08190b8a30c2c64f15f59 |
completed | March 7, 2026, 11:55 p.m. |
Created at: March 1, 2026, 7:55 p.m.