Triple
T30305203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gruene Hall |
E770761
|
entity |
| Predicate | hasHostedPerformer |
P187047
|
FINISHED |
| Object | George Strait |
—
|
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: George Strait | Statement: [Gruene Hall, hasHostedPerformer, George Strait]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHostedPerformer Context triple: [Gruene Hall, hasHostedPerformer, George Strait]
-
A.
hasHostedVenue
Indicates that a particular venue has served as the location for hosting a specific event or activity.
-
B.
hasDJPerformances
Indicates that an entity features or hosts performances by a DJ.
-
C.
hasLivePerformanceWith
Indicates that two or more entities participate together in the same live performance event.
-
D.
hasFanPerformances
Indicates that an entity has associated performances created or carried out by fans.
-
E.
hasHostedSport
Indicates that a place or organization has served as the venue or organizer for one or more sporting events.
- F. None of above. chosen
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_69f224881b948190b8c4921b250a44a3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb3424724c8190ba55ecf66fa0b171 |
completed | May 6, 2026, 12:29 p.m. |
Created at: April 29, 2026, 7:49 p.m.