Triple

T30524718
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Actress (won by Jennifer Lawrence) E776799 entity
Predicate associatedWithCoStar P207286 FINISHED
Object Bradley Cooper E132891 NE 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: Bradley Cooper | Statement: [Academy Award for Best Actress (won by Jennifer Lawrence), associatedWithCoStar, Bradley Cooper]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithCoStar
Context triple: [Academy Award for Best Actress (won by Jennifer Lawrence), associatedWithCoStar, Bradley Cooper]
  • A. associatedConsort
    Indicates a spousal or consort relationship linking one entity to another as their partner.
  • B. associatedWithStand
    Indicates a relationship where an entity is linked or connected to a particular stand, such as being located at, operating in, or otherwise related to that stand.
  • C. associatedCosmology
    Indicates that one entity is conceptually or thematically linked to a particular cosmological system, framework, or worldview.
  • D. associatedWithCustom
    Indicates a relationship where one entity is linked to or connected with another entity in a non-standard, user-defined, or customized manner.
  • E. coSponsor
    Indicates that an entity jointly supports, endorses, or backs an initiative, proposal, or activity together with one or more others.
  • F. None of above. chosen

Provenance (5 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_69f2249b23c4819087fa85496d92f43f completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_6a037c9141dc819098d7fcc36e69882c completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27be6d2dcc8190910d94c0827913d2 completed June 9, 2026, 7:19 a.m.
PD Predicate disambiguation batch_6a0379e2fac0819089b522db3260028c completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c7ee0388190a29faeb5cdb0950a completed May 12, 2026, 7:16 p.m.
Created at: April 29, 2026, 8:17 p.m.