Triple

T15272049
Position Surface form Disambiguated ID Type / Status
Subject The Red Lantern (1919 film) E365043 entity
Predicate screenwriter P2831 FINISHED
Object June Mathis E115412 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: June Mathis | Statement: [The Red Lantern (1919 film), screenwriter, June Mathis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: June Mathis
Context triple: [The Red Lantern (1919 film), screenwriter, June Mathis]
  • A. June Mathis chosen
    June Mathis was a pioneering American screenwriter and film executive of the silent era, best known for discovering Rudolph Valentino and shaping several major early Hollywood productions.
  • B. Valerie Mathis
    Valerie Mathis is the character portrayed by Linda Christian in the 1954 television adaptation of Ian Fleming’s James Bond novel "Casino Royale."
  • C. Jody Powell
    Jody Powell was an American political consultant and press secretary best known for serving as White House Press Secretary under President Jimmy Carter.
  • D. Rene Mathis
    René Mathis is a recurring French intelligence ally of James Bond in Ian Fleming’s 007 novels and their adaptations.
  • E. Lee Evans
    Lee Evans is a British stand-up comedian and actor known for his high-energy, physical comedy and roles in films such as "Funny Bones" and "There's Something About Mary."
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00950a9988190b67dfbc73b8bdbbc completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee6046a088190a9ebea7672e36b73 completed May 9, 2026, 7:45 a.m.
Created at: April 10, 2026, 3:14 a.m.