Triple

T9042025
Position Surface form Disambiguated ID Type / Status
Subject Steven Van Zandt E216654 entity
Predicate spouse P13 FINISHED
Object Maureen Van Zandt E216656 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: Maureen Van Zandt | Statement: [Steven Van Zandt, spouse, Maureen Van Zandt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maureen Van Zandt
Context triple: [Steven Van Zandt, spouse, Maureen Van Zandt]
  • A. Maureen Van Zandt chosen
    Maureen Van Zandt is an American actress and producer best known for her role as Gabriella Dante on the television series "The Sopranos."
  • B. Linda Fratianne
    Linda Fratianne is an American former figure skater and two-time world champion who was one of the sport’s leading ladies in the late 1970s.
  • C. Delaney Bramlett
    Delaney Bramlett was an American singer, songwriter, guitarist, and producer best known for his work with the duo Delaney & Bonnie and collaborations with artists like Eric Clapton and George Harrison.
  • D. Carolee Carmello
    Carolee Carmello is an American actress and singer best known for her extensive work on Broadway in numerous acclaimed musical theatre productions.
  • E. Edie Martin
    Edie Martin was a British character actress known for her frequent appearances as elderly women in mid-20th-century British films and comedies.
  • 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_69ca83d22d488190adbce5e020e9cd1d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b110fcc8190a09e8ac5d98e399e completed April 1, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffdb085c88190b3cf1bec5b1a7143 completed April 3, 2026, 5:49 p.m.
Created at: March 30, 2026, 7:09 p.m.