Triple

T16007990
Position Surface form Disambiguated ID Type / Status
Subject Joe Lamb E388265 entity
Predicate developsRelationshipWith P87667 FINISHED
Object Alice Dainard NE NERFINISHED

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: Alice Dainard | Statement: [Joe Lamb, developsRelationshipWith, Alice Dainard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alice Dainard
Context triple: [Joe Lamb, developsRelationshipWith, Alice Dainard]
  • A. Alice Dainard chosen
    Alice Dainard is a central teenage character in the science fiction film "Super 8," known for her emotional depth and involvement in the mysterious events surrounding a catastrophic train crash.
  • B. Ruby Gentry
    Ruby Gentry is a 1952 American melodrama film directed by King Vidor, starring Jennifer Jones as a poor Southern woman whose passionate love and social struggles lead to tragedy.
  • C. Elizabeth Dempster
    Elizabeth Dempster was the sister of English landowner and Sutton Hoo patron Edith Pretty, belonging to the same prominent early 20th-century family.
  • D. Grace Searing
    Grace Searing is the protagonist of the film "Hall Pass," around whom the story’s comedic and romantic misadventures revolve.
  • E. Anne Ashmond
    Anne Ashmond is a fictional character appearing in the film "Royal Wedding."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1828e9e708190aec0078913bf098a completed April 17, 2026, 12:45 a.m.
Created at: April 10, 2026, 4:55 a.m.