Triple
T18354870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | top hat and tuxedo in "Morocco" |
E439761
|
entity |
| Predicate | linkedToStarPersona |
P112715
|
FINISHED |
| Object | Marlene Dietrich’s androgynous image |
—
|
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: Marlene Dietrich’s androgynous image | Statement: [top hat and tuxedo in "Morocco", linkedToStarPersona, Marlene Dietrich’s androgynous image]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToStarPersona Context triple: [top hat and tuxedo in "Morocco", linkedToStarPersona, Marlene Dietrich’s androgynous image]
-
A.
associatedWithPersonaTrait
chosen
Indicates that an entity is linked to or characterized by a particular persona trait or attribute.
-
B.
linkedToFilmStar
Indicates that one entity has a direct connection or association with a film star.
-
C.
associatedPerformerPersona
Indicates a relationship where a performer is linked to a specific persona or role identity they adopt in their performances.
-
D.
associatedWithPersonInStory
Indicates that one entity has a connection or involvement with a specific person within the context of a story.
-
E.
leaderAssociatedWith
Indicates a relationship where a leader is connected or affiliated with a particular entity, such as an organization, group, or cause.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d458148190849ed28fa90eb92b |
completed | April 19, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e44fed3fdc81908f4ed6a81db42416 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.