Triple
T2289247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Candyman |
E51464
|
entity |
| Predicate | hasAesthetic |
P16367
|
FINISHED |
| Object | 1940s pin-up style |
—
|
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: 1940s pin-up style | Statement: [Candyman, hasAesthetic, 1940s pin-up style]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAesthetic Context triple: [Candyman, hasAesthetic, 1940s pin-up style]
-
A.
hasDesign
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
B.
artisticCharacteristic
chosen
Indicates that one entity possesses or exhibits a particular artistic quality, style, or trait in relation to another.
-
C.
hasArtisticGenre
Indicates that an entity (such as a work or creation) belongs to or is characterized by a particular artistic genre.
-
D.
hasArtisticFocus
Indicates that an entity’s primary artistic attention, theme, or specialization is directed toward a particular subject, style, or medium.
-
E.
hasLuster
Indicates that one entity possesses a shiny, glossy, or reflective surface quality.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc273b67c8190bcd96f9a484647ef |
completed | March 7, 2026, 6:15 a.m. |
| PD | Predicate disambiguation | batch_69abbdbc8bcc8190a183481d766965a4 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.