Triple

T29931774
Position Surface form Disambiguated ID Type / Status
Subject Hillary Clinton 2008 presidential campaign E760232 entity
Predicate lostNominationTo P168273 FINISHED
Object Barack Obama 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: Barack Obama | Statement: [Hillary Clinton 2008 presidential campaign, lostNominationTo, Barack Obama]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lostNominationTo
Context triple: [Hillary Clinton 2008 presidential campaign, lostNominationTo, Barack Obama]
  • A. lostElectoralDignityTo
    Indicates that one political figure or entity lost an electoral position, title, or honor to another in an election or similar voting process.
  • B. lostVoteOfConfidence
    Indicates that an entity has failed to retain the required support or trust of a decision-making group, resulting in a formal loss of confidence.
  • C. losingRunningMate
    Indicates that one entity is the running mate who was on the losing side in an electoral contest involving another entity.
  • D. notElectedBy
    Indicates that an individual or entity did not attain a position, role, or status through the voting or selection process of a specified group or electorate.
  • E. failedToWinSeats
    Indicates that an entity participated in an election or contest for seats but did not succeed in obtaining any of them.
  • 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_69f224631674819080c8d089674f9f4f completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f677d14aa48190b48340c9e6ed43b5 completed May 2, 2026, 10:16 p.m.
PD Predicate disambiguation batch_69f66ec8298c8190b41fe9d182c05676 completed May 2, 2026, 9:38 p.m.
PDg Predicate description generation batch_69f67256d064819094be04fc1bbbc635 completed May 2, 2026, 9:53 p.m.
Created at: April 29, 2026, 6:18 p.m.