Triple
T3043863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | May Ball |
E83395
|
entity |
| Predicate | typicalDressCode |
P2738
|
FINISHED |
| Object | black tie |
—
|
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: black tie | Statement: [May Ball, typicalDressCode, black tie]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalDressCode Context triple: [May Ball, typicalDressCode, black tie]
-
A.
hasDressCode
chosen
Indicates that a specified entity enforces or is associated with a particular set of rules governing appropriate clothing or attire.
-
B.
garmentType
Indicates the specific kind or category of garment associated with an entity.
-
C.
dressRecommendation
Indicates a suggested or advised choice of dress for a particular person and/or occasion.
-
D.
typicallyWornWith
Indicates that one item of clothing or accessory is commonly or customarily worn together with another.
-
E.
nationalDress
Indicates that an item of clothing is recognized as the traditional or customary dress associated with a particular nation or culture.
- 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b5ec5988190b8b6c95c743c6d1e |
completed | March 8, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69ad961fc62c819087c4c3a44b00847d |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.