Triple
T20436613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Garage |
E501264
|
entity |
| Predicate | contributor |
P1993
|
FINISHED |
| Object | Mark Egan |
—
|
NE NERFINISHED |
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: Mark Egan | Statement: [American Garage, contributor, Mark Egan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Egan Context triple: [American Garage, contributor, Mark Egan]
-
A.
Mark Egan
chosen
Mark Egan is an American jazz and fusion bassist best known for his work with the Pat Metheny Group and his lyrical, fretless bass style.
-
B.
David Egan
David Egan is a film editor known for his work on animated features such as DC League of Super-Pets.
-
C.
Dan Egan
Dan Egan is an ambitious, fast-talking political operative and campaign strategist on the television series "Veep."
-
D.
Greg Evigan
Greg Evigan is an American actor best known for his leading roles in the television series "B.J. and the Bear" and "My Two Dads."
-
E.
Peter Egan
Peter Egan is an English actor known for his work in film, television, and theatre, including prominent roles in series such as "Ever Decreasing Circles" and "Downton Abbey."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ef5fc8819089e3f97a63a52f86 |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.