Triple

T14158639
Position Surface form Disambiguated ID Type / Status
Subject Renee Raddick E350876 entity
Predicate portrayedBy P1507 FINISHED
Object Lisa Nicole Carson E451211 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: Lisa Nicole Carson | Statement: [Renee Raddick, portrayedBy, Lisa Nicole Carson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisa Nicole Carson
Context triple: [Renee Raddick, portrayedBy, Lisa Nicole Carson]
  • A. Lisa Nicole Carson chosen
    Lisa Nicole Carson is an American actress best known for her role as prosecutor Renée Raddick on the television series "Ally McBeal" and for her work in film and television during the 1990s.
  • B. Maria Reachi
    Maria Reachi is the daughter of silent film actress Agnes Ayres and Mexican film producer Manuel Reachi.
  • C. Nicole Bristol
    Nicole Bristol is a French local politician who serves as the mayor of the commune of Montesson.
  • D. Carina Driscoll
    Carina Driscoll is an American politician and entrepreneur from Vermont who has been involved in local government and progressive political campaigns.
  • E. Tasha McCauley
    Tasha McCauley is an American robotics engineer and tech entrepreneur known for co-founding the robotics company Fellow Robots and for her work at the intersection of technology and innovation.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61377de48190a3470d28f0edd34a completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bb5a64c81908cb8c50bbfa239a4 completed May 8, 2026, 3:42 a.m.
Created at: April 10, 2026, 12:58 a.m.