Triple

T14479691
Position Surface form Disambiguated ID Type / Status
Subject Insurgent E359065 entity
Predicate starring P1507 FINISHED
Object Theo James E873795 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: Theo James | Statement: [Insurgent, starring, Theo James]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Theo James
Context triple: [Insurgent, starring, Theo James]
  • A. Theo James chosen
    Theo James is a British actor known for his roles in the Divergent film series and the HBO anthology series The White Lotus.
  • B. Augustus Prew
    Augustus Prew is a British actor known for his roles in film and television, including projects like "About a Boy," "The Borgias," and "Prison Break."
  • C. Xavier Samuel
    Xavier Samuel is an Australian actor known for his roles in films such as "The Twilight Saga: Eclipse," "Adore," and various Australian and international productions.
  • D. Nicholas Brendon
    Nicholas Brendon is an American actor best known for playing Xander Harris on the television series "Buffy the Vampire Slayer."
  • E. Kyle McAvoy
    Kyle McAvoy is the young, idealistic law student protagonist of John Grisham’s legal thriller "The Associate," who becomes entangled in a high-stakes blackmail scheme.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924a576c819098351efabdb779b1 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d8ccd608190afd23c903cd5686a completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:20 a.m.