Triple
T33530791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leticia Musgrove |
E858774
|
entity |
| Predicate | awardContributedToYear |
P67363
|
FINISHED |
| Object | 2002 Academy Awards |
—
|
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: 2002 Academy Awards | Statement: [Leticia Musgrove, awardContributedToYear, 2002 Academy Awards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardContributedToYear Context triple: [Leticia Musgrove, awardContributedToYear, 2002 Academy Awards]
-
A.
awardReceivedYear
Indicates the specific year in which an entity received a particular award.
-
B.
workAwardYear
Indicates the year in which a particular work received a specific award.
-
C.
returnedAwardYear
Indicates the year in which an award that had previously been given was returned or relinquished.
-
D.
awardContributedTo
chosen
Indicates that an entity played a role or made a contribution that helped lead to a particular award or recognition being granted.
-
E.
awardForYear
Indicates that an award is associated with, or was given in, a specific year.
- 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_69f34978caf4819083f90eba4944d8e8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: May 1, 2026, 1:39 a.m.