Triple
T37125222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Front |
E919370
|
entity |
| Predicate | oscarNominatedPerson |
P10684
|
FINISHED |
| Object | Walter Bernstein |
—
|
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: Walter Bernstein | Statement: [The Front, oscarNominatedPerson, Walter Bernstein]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oscarNominatedPerson Context triple: [The Front, oscarNominatedPerson, Walter Bernstein]
-
A.
supportingActorAwardRecipient
Indicates that an entity has received an award specifically for a supporting acting role in a performance or production.
-
B.
notableAwardNominationRecipient
chosen
Indicates that an entity has been formally nominated to receive a particular notable award.
-
C.
supportingActorNominee
Indicates that an entity has been nominated for an award recognizing their performance in a supporting acting role.
-
D.
oscarCategoryWon
Indicates that an entity has won an Academy Award in the specified Oscar category.
-
E.
leadingActressNominee
Indicates that a person has been nominated for an award in the leading actress category for a particular work or performance.
- 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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:15 p.m.