Triple

T13537372
Position Surface form Disambiguated ID Type / Status
Subject Lifetime Movie Network E323295 entity
Predicate alsoKnownAs P39 FINISHED
Object LMN E323296 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: LMN | Statement: [Lifetime Movie Network, alsoKnownAs, LMN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LMN
Context triple: [Lifetime Movie Network, alsoKnownAs, LMN]
  • A. LMN chosen
    LMN is an American cable television network, formerly known as Lifetime Movie Network, that primarily airs made-for-TV movies and films targeted toward a female audience.
  • B. LMN
    LMN is the station code for La Moneda, a metro station in Santiago, Chile.
  • C. MNP
    MNP was a Turkish Islamist political party formally known as the National Order Party.
  • D. MNP
    MNP is the three-letter ISO 3166-1 alpha-3 country code assigned to the Northern Mariana Islands.
  • E. MNO
    MNO is the ICAO airline designator assigned to Mango Airlines, a South African low-cost carrier.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbe39948190808062d4eff91841 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9a448c81908fa57a909a9097f7 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:45 p.m.