Triple
T20119280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Walkabouts |
E490554
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Glenn Slater |
—
|
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: Glenn Slater | Statement: [The Walkabouts, hasMember, Glenn Slater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glenn Slater Context triple: [The Walkabouts, hasMember, Glenn Slater]
-
A.
Glenn Slater
Glenn Slater is an American lyricist best known for his work on Broadway and film musicals, frequently partnering with composer Alan Menken on projects such as "The Little Mermaid" stage adaptation and "Tangled."
-
B.
Glenn Slater
chosen
Glenn Slater is a musician best known as the keyboardist for the American alternative country/rock band The Walkabouts.
-
C.
Paul Slater
Paul Slater is an Anglican bishop who has served in senior episcopal leadership within the Church of England, notably in the Diocese of Leeds.
-
D.
Ian Slater
Ian Slater is a film editor best known for his work on major feature films, including entries in the Twilight Saga.
-
E.
Dan Slater
Dan Slater is the protagonist of the thriller novel "The Double Man," around whom the story’s central intrigue and conflict revolve.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6673c32bc8190a52875961fbcc5e2 |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:30 p.m.