Triple
T10459179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tokyo Blues |
E246623
|
entity |
| Predicate | personnel |
P50783
|
FINISHED |
| Object | Gene Taylor |
E865837
|
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: Gene Taylor | Statement: [The Tokyo Blues, personnel, Gene Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gene Taylor Context triple: [The Tokyo Blues, personnel, Gene Taylor]
-
A.
Gene Taylor
Gene Taylor is an American college athletics administrator best known for serving as the athletic director at Kansas State University.
-
B.
Gene Taylor
chosen
Gene Taylor was an American blues and boogie-woogie pianist known for his work with bands like Canned Heat and The Blasters as well as his own solo recordings.
-
C.
Ken Taylor
Ken Taylor was the Canadian ambassador to Iran who played a key role in secretly sheltering and helping American diplomats escape Tehran during the 1979–1980 hostage crisis.
-
D.
Gil Taylor
Gil Taylor was a renowned British cinematographer known for his innovative visual work on films such as "Star Wars," "Dr. Strangelove," and "A Hard Day's Night."
-
E.
Cal Henderson
Cal Henderson is a British software engineer and entrepreneur best known as the co-founder and CTO of the workplace communication platform Slack.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe4b6d408190af59104a44871578 |
completed | April 7, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90dac584081909a79bc300b9338c8 |
completed | April 10, 2026, 2:48 p.m. |
Created at: April 6, 2026, 12:18 p.m.