Triple
T35336809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Engagement Party |
E1020479
|
entity |
| Predicate | scoreAwardedFor |
P140971
|
FINISHED |
| Object | La La Land |
—
|
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: La La Land | Statement: [Engagement Party, scoreAwardedFor, La La Land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scoreAwardedFor Context triple: [Engagement Party, scoreAwardedFor, La La Land]
-
A.
pointsAwarded
Indicates that a specified number of points has been granted to an entity as a result of some action or event.
-
B.
memberAwardedFor
Indicates that a member received an award specifically in recognition of a particular achievement, contribution, or reason.
-
C.
positionAwarded
Indicates that a specific position, role, or title has been formally granted to an entity (such as a person or organization).
-
D.
goalAwarded
Indicates that a specific goal or objective has been granted or conferred upon an entity as an award or achievement.
-
E.
associatedWithAwardWinningScore
chosen
Indicates that an entity is connected to or involved with a score that has received an award.
- 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_69f76debb4e08190be52d89b8af2392d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.