Triple
T19967765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Weil |
E479984
|
entity |
| Predicate | hasRoleInHeist |
P69135
|
FINISHED |
| Object | dress designer for Daphne Kluger |
—
|
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: dress designer for Daphne Kluger | Statement: [Rose Weil, hasRoleInHeist, dress designer for Daphne Kluger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoleInHeist Context triple: [Rose Weil, hasRoleInHeist, dress designer for Daphne Kluger]
-
A.
hasThiefCharacter
Indicates that an entity includes or features a character whose role or identity is that of a thief.
-
B.
relationshipToHeistCrew
chosen
Indicates the specific role, connection, or association an entity has with a particular heist crew.
-
C.
survivesHeist
Indicates that an entity successfully endures and remains unharmed or intact through the course of a heist.
-
D.
roleInCrime
Indicates the specific function, responsibility, or participation an entity has within the commission of a particular crime.
-
E.
hasRoleInRace
Indicates that an entity participates in a race with a specific role or function.
- 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_69d8e523c19881909f9197037200dde6 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65bc6b0208190b1ae30be95712326 |
completed | April 20, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69e537f7e4848190b431a69ec3f1b609 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:54 p.m.