Triple

T3819743
Position Surface form Disambiguated ID Type / Status
Subject Harrison Ford E84343 entity
Predicate spouse P13 FINISHED
Object Melissa Mathison E175978 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: Melissa Mathison | Statement: [Harrison Ford, spouse, Melissa Mathison]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melissa Mathison
Context triple: [Harrison Ford, spouse, Melissa Mathison]
  • A. Melissa Mathison chosen
    Melissa Mathison was an American screenwriter best known for writing the screenplay for Steven Spielberg’s film "E.T. the Extra-Terrestrial."
  • B. Melissa Franklin
    Melissa Franklin is a Canadian-American experimental particle physicist known for her work at CERN and as the first woman to receive tenure in Harvard University's physics department.
  • C. Lisa Reisert
    Lisa Reisert is the resourceful and determined protagonist of the thriller film "Red Eye," who becomes entangled in a high-stakes assassination plot during a red-eye flight.
  • D. Lori McCreary
    Lori McCreary is an American film and television producer, co-founder of Revelations Entertainment, and longtime producing partner of actor Morgan Freeman.
  • E. Melissa Thomas
    Melissa Thomas is known as the wife of American screenwriter and director David Koepp.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeea601d408190b09dc486e77488d4 completed March 9, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3a763c5081909cfb4b209207c859 completed March 22, 2026, 12:40 a.m.
Created at: March 9, 2026, 3:17 p.m.