Triple
T29088027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lonny Price |
E734169
|
entity |
| Predicate | hasDirectedForTheatre |
P192769
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Lonny Price, hasDirectedForTheatre, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDirectedForTheatre Context triple: [Lonny Price, hasDirectedForTheatre, true]
-
A.
hasTheatricalFilm
Indicates that an entity has an associated theatrical film adaptation, version, or release.
-
B.
servedInTheatre
Indicates that an individual performed military or service duties within a specific theater of operations or geographic area during a conflict or campaign.
-
C.
hasTheatricalStaging
Indicates that something (such as a work or event) is presented or realized through a theatrical staging or performance.
-
D.
hasTheatricalContext
Indicates that something is related to, situated within, or characterized by a theatrical setting, performance, or dramatic context.
-
E.
hasDirectedFeatureFilm
Indicates that a person has directed a particular feature-length film.
- 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_69f05b0c0f28819086eae6e84f2ae472 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
| PDg | Predicate description generation | batch_69fd2a2095f88190bfcbcb2973516ffc |
completed | May 8, 2026, 12:11 a.m. |
Created at: April 28, 2026, 11:02 a.m.