Triple

T14879418
Position Surface form Disambiguated ID Type / Status
Subject Diane Freeling E349958 entity
Predicate hasChild P369 FINISHED
Object Dana Freeling E571824 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: Dana Freeling | Statement: [Diane Freeling, hasChild, Dana Freeling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dana Freeling
Context triple: [Diane Freeling, hasChild, Dana Freeling]
  • A. Carol Anne Freeling chosen
    Carol Anne Freeling is the young girl at the center of the supernatural events in the Poltergeist film series, known for being abducted by malevolent spirits through her family's television.
  • B. Dawn Freeman
    Dawn Freeman is known as the wife of late American heavyweight boxer and former WBO champion Tommy Morrison.
  • C. Dana Congdon
    Dana Congdon is a film editor best known for his work on movies such as the anthology comedy "Four Rooms."
  • D. Diane Coulston
    Diane Coulston is a teenage schoolgirl in the film "T2 Trainspotting," known for her past relationship with protagonist Mark Renton and her sharp, grounded perspective on the aging former heroin users.
  • E. Lisa Freeman
    Lisa Freeman is an American actress known for her supporting role in the 1981 romantic comedy film "Modern Romance."
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e622388190b2bf91cd10b9821d completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01d44044819088c86f46b02404ed completed May 9, 2026, 9:43 a.m.
Created at: April 10, 2026, 1:55 a.m.