Triple

T15576064
Position Surface form Disambiguated ID Type / Status
Subject Flickr E374371 entity
Predicate previousOwner 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: [Flickr, previousOwner, Oath Inc.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oath Inc.
Context triple: [Flickr, previousOwner, 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. Ogiens/Kane Company
    Ogiens/Kane Company is a television production company best known for producing the Western drama series "The Young Riders."
  • E. 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.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e22c89081909b1ec0cd36a1ef45 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4978ec8190a57de5d9a2ec6653 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:10 a.m.