Triple
T11333217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stan Lynch |
E268400
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Eddie Money |
E824126
|
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: Eddie Money | Statement: [Stan Lynch, associatedAct, Eddie Money]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eddie Money Context triple: [Stan Lynch, associatedAct, Eddie Money]
-
A.
Eddie Money
chosen
Eddie Money was an American rock singer and songwriter best known for his hit songs in the late 1970s and 1980s, including “Two Tickets to Paradise” and “Take Me Home Tonight.”
-
B.
Billy Rich
Billy Rich is a film editor known for his work on major Hollywood productions, including the science fiction naval action movie "Battleship."
-
C.
David Benoit
David Benoit is an American contemporary jazz pianist, composer, and bandleader known for his smooth jazz recordings and contributions to modern jazz fusion.
-
D.
Michael Bolton
Michael Bolton is an American singer and songwriter known for his powerful, soulful ballads and successful pop and adult contemporary hits, especially in the late 1980s and early 1990s.
-
E.
Michael Montgomery
Michael Montgomery is an actor known for his role in the classic "The Twilight Zone" episode "Walking Distance."
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9fe5d5881908d786b212a554d8b |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5263160548190adb7d5c0fd6af0e2 |
completed | April 19, 2026, 7 p.m. |
Created at: April 8, 2026, 9:33 p.m.