Triple
T33431892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evenstar jewel |
E856151
|
entity |
| Predicate | filmCostumeDesigner |
P87546
|
FINISHED |
| Object | Ngila Dickson |
—
|
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: Ngila Dickson | Statement: [Evenstar jewel, filmCostumeDesigner, Ngila Dickson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmCostumeDesigner Context triple: [Evenstar jewel, filmCostumeDesigner, Ngila Dickson]
-
A.
costumeDesignerOfWork
chosen
Indicates that an entity serves as the costume designer responsible for the costumes in a particular creative work.
-
B.
premieredWithCostumeDesigner
Indicates that a work’s premiere occurred in collaboration with, or was first presented featuring the involvement of, a specific costume designer.
-
C.
costumeDesignEmphasisOn
Indicates that a costume design places particular focus or priority on a specified element, style, feature, or thematic aspect.
-
D.
designedCostumesFor
Indicates that one entity created or planned the costumes used by another entity, typically for a performance, production, or event.
-
E.
bestCostumeDesignWinner
Indicates that the subject is the winner of an award or recognition for best costume design in a given context or event.
- 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_69f349709e7881908c342b4d34f555f4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:36 a.m.