Triple
T26213013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Şükran Güngör |
E655539
|
entity |
| Predicate | hasNotableTheatre |
P17415
|
FINISHED |
| Object | Kenter Theatre |
—
|
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: Kenter Theatre | Statement: [Şükran Güngör, hasNotableTheatre, Kenter Theatre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableTheatre Context triple: [Şükran Güngör, hasNotableTheatre, Kenter Theatre]
-
A.
hasMunicipalTheatre
Indicates that a place or administrative entity possesses or contains a municipal theatre as one of its facilities.
-
B.
hasTheatreDistrictRole
Indicates that an entity holds a specific role, function, or designation within a theatre district.
-
C.
hasNotableShow
Indicates that an entity is associated with a particular show that is considered notable or significant.
-
D.
notableTheater
Indicates that there is a significant or well-known theater associated with the subject.
-
E.
notableTheatre
chosen
Indicates that there is a notable or significant theatre associated with the subject entity.
- 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
Created at: April 26, 2026, 8:53 p.m.