Triple

T10907179
Position Surface form Disambiguated ID Type / Status
Subject Yahoo! Screen E257602 entity
Predicate ownedBy P347 FINISHED
Object Oath Inc. E22481 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: Oath Inc. | Statement: [Yahoo! Screen, ownedBy, Oath Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oath Inc.
Context triple: [Yahoo! Screen, ownedBy, Oath Inc.]
  • A. Oath Inc. chosen
    Oath Inc. was a Verizon-owned digital media and advertising company formed from the merger of AOL and Yahoo.
  • B. Omar Associates
    Omar Associates is a Pakistani business group best known in sports for owning the Pakistan Super League franchise Quetta Gladiators.
  • C. OCT Group
    OCT Group is a major Chinese state-owned enterprise best known for developing and operating large-scale cultural tourism, theme parks, and real estate projects across China.
  • D. Object Mentor Inc.
    Object Mentor Inc. is a software consulting and training company known for promoting agile development practices, clean code principles, and software craftsmanship.
  • E. Arkangel Corporation
    Arkangel Corporation is a fictional tech company from the TV series "Black Mirror," known for developing invasive child-monitoring technology that raises ethical concerns about privacy and control.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7706756d081908ed29c68d81df688 completed April 9, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e155454890819087028a72ac2be8de completed April 16, 2026, 9:31 p.m.
Created at: April 8, 2026, 9:22 p.m.