Triple
T38363456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert De Niro as Max Cady |
E892359
|
entity |
| Predicate | consideredOneOfActorBestRoles |
P190464
|
FINISHED |
| Object | Robert De Niro |
—
|
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: Robert De Niro | Statement: [Robert De Niro as Max Cady, consideredOneOfActorBestRoles, Robert De Niro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: consideredOneOfActorBestRoles Context triple: [Robert De Niro as Max Cady, consideredOneOfActorBestRoles, Robert De Niro]
-
A.
awardRecognitionForPortrayal
Indicates that recognition or an award is given to someone specifically for their performance or depiction of a particular role or subject.
-
B.
leadActorNominee
Indicates that an entity was nominated for a lead acting role in relation to a particular work or award.
-
C.
academyAwardWinningPerformances
Indicates that the performances in question have won an Academy Award (Oscar) for acting.
-
D.
supportingActorAwardRecipient
Indicates that an entity has received an award specifically for a supporting acting role in a performance or production.
-
E.
leadActorAwarded
Indicates that the person in the lead actor role has received an award for their performance.
- F. None of above. chosen
Provenance (4 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_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcc7a4d7f881908b43b960911b81e9 |
completed | May 7, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69fcc589720c819089c8f500fea3c86a |
completed | May 7, 2026, 5:02 p.m. |
| PDg | Predicate description generation | batch_69fcc7a42f68819081d6ec8bb6b53438 |
completed | May 7, 2026, 5:11 p.m. |
Created at: May 3, 2026, 4:31 p.m.