Triple

T22504230
Position Surface form Disambiguated ID Type / Status
Subject Zenith E556346 entity
Predicate hasCompetitor P1375 FINISHED
Object Starcom 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: Starcom | Statement: [Zenith, hasCompetitor, Starcom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Starcom
Context triple: [Zenith, hasCompetitor, Starcom]
  • A. Starcom chosen
    Starcom is a global media communications agency known for planning and buying advertising across multiple channels as part of the Publicis Groupe network.
  • B. STARCOM
    STARCOM is the United States Space Force field command responsible for training, education, doctrine, and test and evaluation for space forces.
  • C. Sabrang Communications
    Sabrang Communications is an Indian media and advocacy organization known for its work on human rights, communalism, and social justice issues.
  • D. Stone Communications
    Stone Communications is a public relations and political consulting firm associated with Republican strategist Roger Stone.
  • E. Orbiscom
    Orbiscom is a financial technology company best known for pioneering secure online payment and virtual card number solutions before being acquired by Mastercard.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5ac5808190a66f9111c350f4dc completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.