Triple
T15798606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Make-Up |
E383043
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Phil Manley |
E509191
|
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: Phil Manley | Statement: [The Make-Up, hasMember, Phil Manley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phil Manley Context triple: [The Make-Up, hasMember, Phil Manley]
-
A.
Philip Manley
chosen
Philip Manley is an American musician and guitarist best known for his work in the experimental rock and krautrock-influenced band Trans Am.
-
B.
Mick Shipman
Mick Shipman is a down-to-earth, good-natured family man and father figure in the British sitcom "Gavin & Stacey."
-
C.
Glen Massey
Glen Massey is a small rural settlement in New Zealand known historically for its coal mining activities.
-
D.
Phil Reeves
Phil Reeves is an American character actor known for his supporting roles in film and television, including appearances in comedies and dramas such as "13 Going on 30."
-
E.
Phil Myman
Phil Myman is a neurotic, well-meaning research scientist and one of the central comedic characters in the satirical TV series "Better Off Ted."
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4e00d348190bc98917c4098ec2f |
completed | April 16, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3b4378c81908850161988a03b9e |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:48 a.m.