Triple
T33004497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C. I. Laxson |
E844455
|
entity |
| Predicate | hasAuditoriumNamedAfter |
P138265
|
FINISHED |
| Object | Laxson Auditorium |
—
|
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: Laxson Auditorium | Statement: [C. I. Laxson, hasAuditoriumNamedAfter, Laxson Auditorium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuditoriumNamedAfter Context triple: [C. I. Laxson, hasAuditoriumNamedAfter, Laxson Auditorium]
-
A.
theatreNamedAfter
chosen
Indicates that a theatre bears the name of a particular person, place, or entity in whose honor or reference it is named.
-
B.
hasBuildingNamedAfterHim
Indicates that a person has a building that is named in their honor.
-
C.
hasAcademicChairNamedAfter
Indicates that an academic chair or professorship is named in honor of a particular person or entity.
-
D.
hasHeritageSiteNamedAfter
Indicates that one entity has a heritage site that is named after another entity.
-
E.
hasAmphitheaterName
Indicates that an entity (such as a venue or site) bears a specific name identifying it as an amphitheater.
- 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_69f3494e59f08190b9127c693e5c7e8f |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 1, 2026, 1:23 a.m.