Triple

T9328704
Position Surface form Disambiguated ID Type / Status
Subject Jennifer Jones E224461 entity
Predicate notableWork P4 FINISHED
Object Love Letters E241201 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: Love Letters | Statement: [Jennifer Jones, notableWork, Love Letters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love Letters
Context triple: [Jennifer Jones, notableWork, Love Letters]
  • A. Love Letters chosen
    Love Letters is a 1945 romantic drama film, produced by Hal B. Wallis, known for its amnesia-driven love story and Oscar-nominated screenplay by Ayn Rand.
  • B. Love & Letter
    Love & Letter is the debut full-length studio album by South Korean boy group Seventeen, showcasing their self-produced pop sound and solidifying their presence in the K-pop industry.
  • C. The Love Letter
    The Love Letter is a 1923 silent romantic drama film starring Leatrice Joy and directed by King Vidor.
  • D. Love Letter
    Love Letter is an R&B album by R. Kelly that pays homage to classic soul music with smooth, retro-inspired love songs.
  • E. Unsent Letters
    Unsent Letters is a work by British novelist and academic Malcolm Bradbury, reflecting his characteristic wit and insight into contemporary life and literature.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37ab90ac8190b5c73f08dd091731 completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7f345d88190912b0f10e7ab68be completed April 4, 2026, 8:12 a.m.
Created at: March 30, 2026, 7:39 p.m.