Triple
T6144870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shakedown Street |
E137050
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Dan Healy |
E566918
|
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: Dan Healy | Statement: [Shakedown Street, producer, Dan Healy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Healy Context triple: [Shakedown Street, producer, Dan Healy]
-
A.
Dan Healy
chosen
Dan Healy is an American audio engineer and producer best known for his long association with the Grateful Dead, helping shape their distinctive live and studio sound.
-
B.
Brian Kavanagh
Brian Kavanagh is a film editor best known for his work on notable Australian and international films, including the drama "The Devil's Playground."
-
C.
Kevin O'Connor
Kevin O'Connor is an American entrepreneur best known as the co-founder and former CEO of the online advertising company DoubleClick.
-
D.
John Doherty
John Doherty is known as the husband of American actress Michael Learned, famed for her role as Olivia Walton on the television series "The Waltons."
-
E.
Kevin Tighe
Kevin Tighe is an American actor best known for his role as firefighter-paramedic Roy DeSoto on the television series "Emergency!" and for numerous character roles in film and television.
- 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_69c008a2c6308190a56519b22d55d083 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05cb645508190aea2d77c9de174ba |
completed | March 22, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c518e697088190b47a610783baa7ea |
completed | March 26, 2026, 11:30 a.m. |
Created at: March 22, 2026, 4:16 p.m.