Triple
T1287897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tramp |
E27476
|
entity |
| Predicate | costumeElement |
P28106
|
FINISHED |
| Object | bowler hat |
—
|
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: bowler hat | Statement: [The Tramp, costumeElement, bowler hat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: costumeElement Context triple: [The Tramp, costumeElement, bowler hat]
-
A.
costumeType
Indicates the specific kind or category of costume associated with an entity.
-
B.
isCostumed
Indicates that an entity is wearing or otherwise adorned with a costume.
-
C.
haveDistinctCostume
Indicates that the entities each possess a costume that is different from the others’ costumes.
-
D.
ceremonialDressFeature
Indicates that one entity is a characteristic, component, or distinguishing element of another entity’s ceremonial dress or attire.
-
E.
originalCostumeColor
Indicates the color that a costume originally had before any changes, damage, or alterations.
- 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0d38d7c81908941edda9cac5d6a |
completed | March 1, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69a4bee41ca08190b0ad6f7ea40c0b62 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bfa205ec81909d8170b398345615 |
completed | March 1, 2026, 10:37 p.m. |
Created at: March 1, 2026, 7:51 p.m.