Triple

T3545693
Position Surface form Disambiguated ID Type / Status
Subject Nikki Reed E74990 entity
Predicate name P16 FINISHED
Object Nikki Reed E74990 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: Nikki Reed | Statement: [Nikki Reed, name, Nikki Reed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nikki Reed
Context triple: [Nikki Reed, name, Nikki Reed]
  • A. Nikki Reed chosen
    Nikki Reed is an American actress and screenwriter best known for her role as Rosalie Hale in the Twilight film series.
  • B. Shannyn Sossamon
    Shannyn Sossamon is an American actress and musician known for her roles in early 2000s films such as "A Knight's Tale" and various independent and genre movies.
  • C. Veronica Moore
    Veronica Moore is a powerhouse Broadway star character portrayed by Jennifer Hudson in the musical drama television series "Smash."
  • D. Ali Larter
    Ali Larter is an American actress and former model best known for her roles in films like "Final Destination" and "Legally Blonde" and the TV series "Heroes."
  • E. Heather Lind
    Heather Lind is an American actress known for her work in film, television, and theater, including roles in projects like the indie comedy-drama "Mistress America."
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbf77d938819095c72a88b5af644a completed March 8, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402dfb0688190a65b41c8dc13ee97 completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:20 p.m.