Triple

T4614323
Position Surface form Disambiguated ID Type / Status
Subject InterActiveCorp E100829 entity
Predicate hasSubsidiary P254 FINISHED
Object Ask Media Group E100823 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: Ask Media Group | Statement: [InterActiveCorp, hasSubsidiary, Ask Media Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ask Media Group
Context triple: [InterActiveCorp, hasSubsidiary, Ask Media Group]
  • A. Ask Media Group chosen
    Ask Media Group is a digital media and internet company best known for operating search and question‑and‑answer websites such as Ask.com.
  • B. Telegraph Media Group
    Telegraph Media Group is a British media company best known for owning and operating the national newspaper The Daily Telegraph and related digital news platforms.
  • C. Atlantic Media
    Atlantic Media is an American media company best known for owning and operating influential publications such as The Atlantic.
  • D. Mirror Group Newspapers
    Mirror Group Newspapers is a major British newspaper publishing company best known for producing the Daily Mirror and its associated titles.
  • E. Ask
    Ask is a small village located in the municipality of Ringerike in Buskerud county, Norway.
  • 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_69bd43cf363c819087fd5ab441b4a3f4 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd59c2678c8190ab8f9420e866521d completed March 20, 2026, 2:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69be035629248190a8723b5f1f9e57bc completed March 21, 2026, 2:32 a.m.
Created at: March 20, 2026, 1:12 p.m.