Triple
T33799380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noël Coward as Mr. Bridger |
E866170
|
entity |
| Predicate | associatedWithHeistTarget |
P2830
|
FINISHED |
| Object | gold bullion |
—
|
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: gold bullion | Statement: [Noël Coward as Mr. Bridger, associatedWithHeistTarget, gold bullion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithHeistTarget Context triple: [Noël Coward as Mr. Bridger, associatedWithHeistTarget, gold bullion]
-
A.
relationshipToHeistCrew
Indicates the specific role, connection, or association an entity has with a particular heist crew.
-
B.
shipAssociatedWith
Indicates that there is a relevant connection or involvement between a ship and another entity, such as ownership, operation, registration, or functional association.
-
C.
leaderAssociatedWith
Indicates a relationship where a leader is connected or affiliated with a particular entity, such as an organization, group, or cause.
-
D.
isAssociatedWith
chosen
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
E.
associatedWithWeapon
Indicates that an entity has a connection or involvement with a weapon, such as ownership, use, presence, or relevance in a given 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:46 a.m.