Triple
T7905240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cast Away |
E183558
|
entity |
| Predicate | leadActorAcademyAwardNomination |
P45056
|
FINISHED |
| Object | Tom Hanks for Best Actor |
—
|
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: Tom Hanks for Best Actor | Statement: [Cast Away, leadActorAcademyAwardNomination, Tom Hanks for Best Actor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorAcademyAwardNomination Context triple: [Cast Away, leadActorAcademyAwardNomination, Tom Hanks for Best Actor]
-
A.
leadActorNominee
chosen
Indicates that an entity was nominated for a lead acting role in relation to a particular work or award.
-
B.
leadingActressNominee
Indicates that a person has been nominated for an award in the leading actress category for a particular work or performance.
-
C.
academyAwardNominations
Indicates that an entity has received one or more nominations for an Academy Award (Oscars).
-
D.
leadActorAwarded
Indicates that the person in the lead actor role has received an award for their performance.
-
E.
supportingActorNominee
Indicates that an entity has been nominated for an award recognizing their performance in a supporting acting role.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a56c9f0819094dc87fe55a8823e |
completed | March 31, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69cae92f9498819085277879e59aa072 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:03 p.m.