Triple
T32723061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cecil Terwilliger |
E836726
|
entity |
| Predicate | sharesVoiceActorConnectionWith |
P71316
|
FINISHED |
| Object | Niles Crane from Frasier |
—
|
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: Niles Crane from Frasier | Statement: [Cecil Terwilliger, sharesVoiceActorConnectionWith, Niles Crane from Frasier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesVoiceActorConnectionWith Context triple: [Cecil Terwilliger, sharesVoiceActorConnectionWith, Niles Crane from Frasier]
-
A.
sharesActorWith
chosen
Indicates that two entities are associated with at least one of the same actors (e.g., performers or participants) in common.
-
B.
sharesEpisodeWith
Indicates that two entities appear in or are associated with the same episode of a series or program.
-
C.
sharesProtagonistWith
Indicates that two narrative works feature the same main protagonist character.
-
D.
sharesAuthorWith
Indicates that two entities have at least one author in common.
-
E.
sharesWith
Indicates that one entity gives another entity access to or use of something it possesses.
- F. None of above.
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_69f34935455881909088975d79460418 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff779e3f0c8190a861f1e4000fd9d9 |
completed | May 9, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69ff77202638819086e4b9f9c0bc7b31 |
completed | May 9, 2026, 6:04 p.m. |
Created at: May 1, 2026, 1:11 a.m.