Triple

T11171764
Position Surface form Disambiguated ID Type / Status
Subject Legend (2015 film) E264288 entity
Predicate narratedBy P2181 FINISHED
Object Emily Browning E848094 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: Emily Browning | Statement: [Legend (2015 film), narratedBy, Emily Browning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emily Browning
Context triple: [Legend (2015 film), narratedBy, Emily Browning]
  • A. Emily Browning chosen
    Emily Browning is an Australian actress known for her roles in films such as "A Series of Unfortunate Events," "Sucker Punch," and "Sleeping Beauty."
  • B. Kristy Swanson
    Kristy Swanson is an American actress best known for originating the title role in the 1992 film "Buffy the Vampire Slayer" and appearing in numerous films and television shows since the 1980s.
  • C. Lauren Ambrose
    Lauren Ambrose is an American actress best known for her critically acclaimed role as Claire Fisher on the HBO drama series "Six Feet Under."
  • D. Amanda Lane
    Amanda Lane is a fictional character in the animated series "Daria," known as the artistic and somewhat eccentric mother of Jane Lane.
  • E. Teresa Palmer
    Teresa Palmer is an Australian actress known for her roles in films such as "Warm Bodies," "Lights Out," and "Hacksaw Ridge."
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e89660208190b1d9e91529f5d246 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483816af08190877f86ee52846581 completed April 19, 2026, 7:25 a.m.
Created at: April 8, 2026, 9:29 p.m.