Triple

T10776804
Position Surface form Disambiguated ID Type / Status
Subject Ronan Farrow E254216 entity
Predicate formerEmployer P1910 FINISHED
Object MSNBC E25906 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: MSNBC | Statement: [Ronan Farrow, formerEmployer, MSNBC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MSNBC
Context triple: [Ronan Farrow, formerEmployer, MSNBC]
  • A. MSNBC chosen
    MSNBC is a U.S.-based cable news and opinion television network known for its liberal-leaning political coverage and analysis.
  • B. NBC News Now
    NBC News Now is a free, ad-supported streaming news channel from NBC News that provides live, rolling coverage and original news programming across digital platforms.
  • C. NBC News
    NBC News is a major American television news division known for producing national and international news programs across broadcast and digital platforms.
  • D. Fox News Channel
    Fox News Channel is a major American cable television news network known for its conservative-leaning commentary and wide influence on U.S. political discourse.
  • E. CBS News
    CBS News is a major American television and digital news division known for producing national and international news programs and journalism for the CBS network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7329d8c908190bddad40685133ea1 completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de238ff88881908676d38dca041cb4 completed April 14, 2026, 11:22 a.m.
Created at: April 8, 2026, 9:16 p.m.