Triple

T3760596
Position Surface form Disambiguated ID Type / Status
Subject Liz Lemon E82149 entity
Predicate colleague P398 FINISHED
Object Jenna Maroney E227340 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: Jenna Maroney | Statement: [Liz Lemon, colleague, Jenna Maroney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jenna Maroney
Context triple: [Liz Lemon, colleague, Jenna Maroney]
  • A. Jenna Maroney chosen
    Jenna Maroney is a vain, attention-seeking comedic actress and singer on the TV series "30 Rock," known for her outrageous behavior and desperate quest for fame.
  • B. Haley Dunphy
    Haley Dunphy is a fashion-conscious, socially savvy yet often scatterbrained eldest daughter in the Dunphy family on the sitcom "Modern Family."
  • C. Jenna
    Jenna is a common feminine given name, often used as a diminutive or variant of Jennifer.
  • D. Cady Heron
    Cady Heron is the naive, homeschooled teenager who becomes entangled in high school cliques and social politics in the teen comedy film "Mean Girls."
  • E. Autumn Reeser
    Autumn Reeser is an American actress best known for her television roles on series such as "The O.C.," "Entourage," and numerous Hallmark Channel movies.
  • 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_69ad8b1db40081908b61ffa6b78afd4d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbc3d3f48190974cec104080949f completed March 8, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f0321c4c8190ba372148c483c4ca completed March 14, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:35 p.m.