Triple

T10026032
Position Surface form Disambiguated ID Type / Status
Subject Skins E200725 entity
Predicate notableCastMember P7010 FINISHED
Object Hannah Murray E823956 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: Hannah Murray | Statement: [Skins, notableCastMember, Hannah Murray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hannah Murray
Context triple: [Skins, notableCastMember, Hannah Murray]
  • A. Hannah Murray chosen
    Hannah Murray is an English actress best known for her roles as Cassie Ainsworth in the TV series "Skins" and Gilly in "Game of Thrones."
  • B. Haley Hudson
    Haley Hudson is an American actress best known for her roles in horror and supernatural films and television series.
  • C. Jessica Henwick
    Jessica Henwick is a British actress known for her roles in genre franchises such as "Game of Thrones," "Star Wars: The Force Awakens," and various action and science fiction films and series.
  • D. Lili Reinhart
    Lili Reinhart is an American actress best known for playing Betty Cooper on the television series "Riverdale."
  • E. Leslie Ann Jones
    Leslie Ann Jones is an acclaimed American recording and mixing engineer and producer known for her pioneering work in music and film scoring, including long tenure at Skywalker Sound.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcde2009081908eddda7813617df4 completed April 2, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26ac2f14081908deaf3945491af78 completed April 5, 2026, 1:59 p.m.
Created at: March 30, 2026, 8:53 p.m.