Triple
T31947329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Bailey as Abby Anderson |
E815686
|
entity |
| Predicate | awardReceivedByPerformer |
P129840
|
FINISHED |
| Object | BAFTA Games Award for Performer in a Leading Role |
—
|
NE NERFINISHED |
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: BAFTA Games Award for Performer in a Leading Role | Statement: [Laura Bailey as Abby Anderson, awardReceivedByPerformer, BAFTA Games Award for Performer in a Leading Role]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardReceivedByPerformer Context triple: [Laura Bailey as Abby Anderson, awardReceivedByPerformer, BAFTA Games Award for Performer in a Leading Role]
-
A.
awardReceivedByCastMember
Indicates that a specific award was received by a member of a production’s cast.
-
B.
awardForPerformerType
chosen
Indicates that an award is designated for or associated with a specific type or category of performer.
-
C.
awardReceived
Indicates that an entity has been granted or honored with a specific award or recognition.
-
D.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
-
E.
awardGivenBy
Indicates that an award is conferred or presented by one entity to another.
- 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_69f348f42d188190a33fc8d20ec50517 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 1, 2026, 12:07 a.m.