Triple

T17489364
Position Surface form Disambiguated ID Type / Status
Subject Mom Tiger E425860 entity
Predicate relative P37 FINISHED
Object Margaret Tiger (baby) 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: Margaret Tiger (baby) | Statement: [Mom Tiger, relative, Margaret Tiger (baby)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Tiger (baby)
Context triple: [Mom Tiger, relative, Margaret Tiger (baby)]
  • A. Margaret Tiger chosen
    Margaret Tiger is the baby sister of Daniel Tiger in the children's animated television series "Daniel Tiger's Neighborhood."
  • B. Margo Lion
    Margo Lion was a prominent American theatrical producer known for shepherding numerous successful Broadway shows, including major musical hits.
  • C. Ruttie Petit
    Ruttie Petit was the fashionable and progressive wife of Muhammad Ali Jinnah, known for her Parsi heritage, youthful marriage, and prominent social presence in early 20th-century India.
  • D. Kitty Murray
    Kitty Murray is a central female character in the 1953 3D horror film "The Maze," involved in uncovering the eerie secrets surrounding a Scottish castle and its mysterious lord.
  • E. Kitty Darling
    Kitty Darling is a fictional character known for appearing in the stage production "Applause."
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451d461308190844c143dcfb61fac completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.