Triple
T13020494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phoebe Buffay |
E326157
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Mike Hannigan |
E551783
|
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: Mike Hannigan | Statement: [Phoebe Buffay, spouse, Mike Hannigan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Hannigan Context triple: [Phoebe Buffay, spouse, Mike Hannigan]
-
A.
Mike Hannigan
chosen
Mike Hannigan is a lovable, easygoing musician best known as Phoebe Buffay’s husband on the television sitcom "Friends."
-
B.
Mike Bennion
Mike Bennion is a musician best known for having been an early member of the British progressive rock band Porcupine Tree.
-
C.
Mike Haggar
Mike Haggar is a muscular former professional wrestler and mayor known from the Final Fight series for battling street gangs with powerful wrestling moves to protect his city.
-
D.
Matt O'Leary
Matt O'Leary is an American actor best known for his roles in early 2000s films such as the Spy Kids franchise and various independent and genre movies.
-
E.
Chris Sievernich
Chris Sievernich is a German film producer best known for his work on acclaimed art-house and independent films, including Wim Wenders’ "Paris, Texas."
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ecf21bc819082fb512bc479b4be |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75469a3f08190a7e417872147b455 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 8:51 p.m.