Triple

T9723273
Position Surface form Disambiguated ID Type / Status
Subject Sarah Altman E235534 entity
Predicate residesWith P29563 FINISHED
Object Meg Altman E132888 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: Meg Altman | Statement: [Sarah Altman, residesWith, Meg Altman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Meg Altman
Context triple: [Sarah Altman, residesWith, Meg Altman]
  • A. Meg Altman chosen
    Meg Altman is the resourceful mother and central protagonist of the thriller film "Panic Room," portrayed by Jodie Foster.
  • B. Jessica Altman
    Jessica Altman is an American singer-songwriter and attorney, known both for her music career and as the daughter of actress Lynda Carter and businessman Robert A. Altman.
  • C. Melissa Rosenberg
    Melissa Rosenberg is an American screenwriter and producer best known for adapting the Twilight Saga films and creating the Marvel television series Jessica Jones.
  • D. Alison Schapker
    Alison Schapker is an American television writer and producer known for her work on series such as Alias, Lost, Fringe, and The Flash.
  • E. Jody Landau
    Jody Landau is known primarily as the child of acclaimed American film producer Jon Landau, who worked closely with director James Cameron on major blockbuster films.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e75abd48190a6e6679ec51496e8 completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c40575f48190807b6a3f10e63b41 completed April 5, 2026, 2:08 a.m.
Created at: March 30, 2026, 8:20 p.m.