Triple
T35403174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Contact |
E1023290
|
entity |
| Predicate | locationOfFirstMajorProduction |
P47743
|
FINISHED |
| Object | Mitzi E. Newhouse Theater |
E322946
|
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: Mitzi E. Newhouse Theater | Statement: [Contact, locationOfFirstMajorProduction, Mitzi E. Newhouse Theater]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfFirstMajorProduction Context triple: [Contact, locationOfFirstMajorProduction, Mitzi E. Newhouse Theater]
-
A.
firstMajorProductionLocation
chosen
Indicates the location where an entity’s first major production or large-scale manufacturing activity took place.
-
B.
locationOfFirstCommercialUse
Indicates the place where something was first used commercially.
-
C.
firstProductionPlace
Indicates the location where something was originally or first produced.
-
D.
firstMajorProduction
Indicates that an entity is the earliest significant or primary production (such as a film, play, or large-scale work) associated with another entity.
-
E.
firstFactoryEstablishedAt
Indicates the location where an entity’s very first factory was established.
- F. None of above.
Provenance (4 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_69f76df43ca4819098711ca4370f1bb9 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a384a2057e4819081bed4f76c54faee |
completed | June 21, 2026, 8:31 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:03 p.m.