Triple

T9623376
Position Surface form Disambiguated ID Type / Status
Subject Lena Headey E232398 entity
Predicate role P268 FINISHED
Object Sarah Connor E119456 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: Sarah Connor | Statement: [Lena Headey, role, Sarah Connor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Connor
Context triple: [Lena Headey, role, Sarah Connor]
  • A. Sarah Connor chosen
    Sarah Connor is a central protagonist in the Terminator franchise, known as the mother of future resistance leader John Connor and a key figure in humanity's fight against Skynet.
  • B. John Connor
    John Connor is the central human resistance leader in the Terminator franchise, destined to lead the fight against Skynet and its machines.
  • C. John T. Connor
    John T. Connor was an American businessman and public official who served as U.S. Secretary of Commerce under President Lyndon B. Johnson.
  • D. Holly Gennaro McClane
    Holly Gennaro McClane is a key character in the Die Hard film series, known as John McClane’s estranged yet resilient wife who becomes embroiled in the Nakatomi Plaza hostage crisis.
  • E. Sarah Walker
    Sarah Walker is a highly skilled CIA agent and one of the main protagonists in the television series "Chuck," known for her espionage expertise and complex relationship with Chuck Bartowski.
  • 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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ad650a4819096258665bc3f410b completed April 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1797ab3d4819088da04fd5d00386b completed April 4, 2026, 8:50 p.m.
Created at: March 30, 2026, 8:10 p.m.