Triple

T18755025
Position Surface form Disambiguated ID Type / Status
Subject Heard E458627 entity
Predicate name P16 FINISHED
Object Amber Laura Heard NE NERFINISHED

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: Amber Laura Heard | Statement: [Heard, name, Amber Laura Heard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amber Laura Heard
Context triple: [Heard, name, Amber Laura Heard]
  • A. Amber Heard chosen
    Amber Heard is an American actress known for roles in films like "Aquaman" and for her highly publicized legal disputes and former marriage with actor Johnny Depp.
  • B. Amanda Lane
    Amanda Lane is a fictional character in the animated series "Daria," known as the artistic and somewhat eccentric mother of Jane Lane.
  • C. Oonagh Paige Heard
    Oonagh Paige Heard is the daughter of American actress Amber Heard, born via surrogate in 2021.
  • D. Dakota Johnson
    Dakota Johnson is an American actress best known for starring as Anastasia Steele in the film adaptation of the erotic romance novel "Fifty Shades of Grey" and its sequels.
  • E. Hari Nef
    Hari Nef is an American actress, model, and writer known for her groundbreaking visibility as a transgender woman in fashion and film, including roles in projects like "Transparent" and "Barbie."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579f084208190a4b3563d47154e69 completed April 20, 2026, 12:57 a.m.
Created at: April 10, 2026, 11:51 a.m.