Triple

T11572032
Position Surface form Disambiguated ID Type / Status
Subject Justin Haythe E274410 entity
Predicate wroteScreenplayFor P15305 FINISHED
Object The Honeymoon E934101 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: The Honeymoon | Statement: [Justin Haythe, wroteScreenplayFor, The Honeymoon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Honeymoon
Context triple: [Justin Haythe, wroteScreenplayFor, The Honeymoon]
  • A. The Honeymoon
    The Honeymoon is a 1917 American silent comedy film directed by Charles Giblyn and starring Constance Talmadge.
  • B. The Honeymoon chosen
    "The Honeymoon" is a novel by Justin Haythe that explores the complexities of love, betrayal, and identity in a richly atmospheric, character-driven narrative.
  • C. The Honeymoon Machine
    The Honeymoon Machine is a 1961 American comedy film about a Navy officer who uses a military computer to gamble in a Venice casino, leading to a series of farcical mishaps.
  • D. The Wedding
    "The Wedding" is a romantic drama film featuring Cynda Williams in a prominent role, exploring themes of love, family, and commitment.
  • E. The Wedding
    "The Wedding" is a Caroline-era stage comedy by English dramatist James Shirley, known for its witty exploration of courtship, marriage, and social manners.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd6913881908becf188c0a7a275 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e713d18ccc8190a63256c3cc1c2f59 completed April 21, 2026, 6:06 a.m.
Created at: April 8, 2026, 9:38 p.m.