Triple
T37229641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norville Rogers |
E923095
|
entity |
| Predicate | typicalOutfit |
P62728
|
FINISHED |
| Object | green V-neck T-shirt |
—
|
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: green V-neck T-shirt | Statement: [Norville Rogers, typicalOutfit, green V-neck T-shirt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOutfit Context triple: [Norville Rogers, typicalOutfit, green V-neck T-shirt]
-
A.
dressRecommendation
Indicates a suggested or advised choice of dress for a particular person and/or occasion.
-
B.
usualAttire
chosen
Indicates the type of clothing an entity typically wears in ordinary or characteristic situations.
-
C.
typicalWear
Indicates that one entity is commonly or characteristically worn by the other in typical situations or contexts.
-
D.
notableOutfit
Indicates that an entity is known for or associated with wearing a particular outfit or style of clothing.
-
E.
recommendedClothing
Indicates that one entity suggests or endorses a particular item of clothing as suitable or preferable for another entity or context.
- 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_69f76ea7f0008190b31b8e30f3d05a71 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.