Triple
T30303223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Houston Grand Opera |
E770705
|
entity |
| Predicate | generalDirectorRole |
P63421
|
FINISHED |
| Object | General Director |
—
|
LITERAL 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: General Director | Statement: [Houston Grand Opera, generalDirectorRole, General Director]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generalDirectorRole Context triple: [Houston Grand Opera, generalDirectorRole, General Director]
-
A.
generalDirector
chosen
Indicates that one entity serves as the general director (top executive or chief manager) of another entity, such as an organization or project.
-
B.
directorGeneralStart
Indicates the date or point in time when an individual begins serving as a director general of an organization or entity.
-
C.
foundingDirector
Indicates that one entity is the original director who established or helped establish the other entity (such as an organization, project, or institution).
-
D.
DirectorGeneralRank
Indicates that one entity holds the position or rank of Director General in relation to another entity (such as an organization or institution).
-
E.
headquartersRole
Indicates that an entity serves in an official capacity or role at the headquarters of an organization.
- 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_69f224881b948190b8c4921b250a44a3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6813bd6bc81909b9b3e89c5ecf129 |
completed | May 2, 2026, 10:57 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:49 p.m.