Triple
T3056458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wind Beneath My Wings |
E60491
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Larry Henley |
E375422
|
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: Larry Henley | Statement: [Wind Beneath My Wings, lyricist, Larry Henley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Larry Henley Context triple: [Wind Beneath My Wings, lyricist, Larry Henley]
-
A.
Larry Henley
chosen
Larry Henley was an American singer and songwriter best known for co-writing the hit ballad "Wind Beneath My Wings."
-
B.
Jeff Henley
Jeff Henley is an American business executive best known for his long tenure as Oracle Corporation’s chief financial officer and later chairman of the board.
-
C.
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.
-
D.
Ben Haggerty
Ben Haggerty, better known by his stage name Macklemore, is an American rapper and songwriter recognized for hits like "Thrift Shop" and "Can't Hold Us."
-
E.
Cliff Hagan
Cliff Hagan is an American Hall of Fame basketball player best known for his scoring prowess with the St. Louis Hawks and later as a player-coach in the ABA.
- 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_69ad8578137c81908259dcb27c7d6d7c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9bf7ebd48190ad5748a18fa9a56a |
completed | March 8, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b488165eb48190ae5b080862919caf |
completed | March 13, 2026, 9:56 p.m. |
Created at: March 8, 2026, 3:02 p.m.