Triple
T20029242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Walsh |
E495075
|
entity |
| Predicate | oftenInteractsWith |
P25924
|
FINISHED |
| Object | Dan 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: Dan Egan | Statement: [Gary Walsh, oftenInteractsWith, Dan Egan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Egan Context triple: [Gary Walsh, oftenInteractsWith, Dan Egan]
-
A.
Dan Egan
chosen
Dan Egan is an ambitious, fast-talking political operative and campaign strategist on the television series "Veep."
-
B.
David Egan
David Egan is a film editor known for his work on animated features such as DC League of Super-Pets.
-
C.
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."
-
D.
Dan Eckman
Dan Eckman is an American director, writer, and producer best known for his work with the comedy group Derrick Comedy and for directing the feature film "Mystery Team."
-
E.
Mitch Rouse
Mitch Rouse is an American actor, comedian, and writer known for his work in film and television, including co-creating the series "Strangers with Candy" and appearing in numerous comedic roles.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662908df081909a6c8ccf0dd90fff |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:36 p.m.