Triple
T29902873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucasfilm presentation (D23 Expo 2019) |
E759457
|
entity |
| Predicate | ownerOfOrganizer |
P175361
|
FINISHED |
| Object | The Walt Disney Studios |
—
|
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: The Walt Disney Studios | Statement: [Lucasfilm presentation (D23 Expo 2019), ownerOfOrganizer, The Walt Disney Studios]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownerOfOrganizer Context triple: [Lucasfilm presentation (D23 Expo 2019), ownerOfOrganizer, The Walt Disney Studios]
-
A.
organizerRole
Indicates that an entity has the role or responsibility of organizing an event, activity, or group.
-
B.
providedByOrganizer
Indicates that something (such as a resource, service, or information) is supplied or made available by the organizer.
-
C.
principalOrganizer
Indicates that an entity serves as the main or leading organizer responsible for planning or coordinating another entity or event.
-
D.
organizerFullName
Indicates the full personal name of the entity that serves as the organizer of an event or activity.
-
E.
lastOrganizer
Indicates that one entity is the most recent or final organizer associated with another entity or event.
- 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6d1d916f881909575c2b22c416a5b |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d0d331dc8190be5aa6bfc6365e67 |
completed | May 3, 2026, 4:36 a.m. |
Created at: April 29, 2026, 6:07 p.m.