Triple

T15732125
Position Surface form Disambiguated ID Type / Status
Subject Son of Zorn E381369 entity
Predicate character P662 FINISHED
Object Linda Orvend E1174508 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: Linda Orvend | Statement: [Son of Zorn, character, Linda Orvend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linda Orvend
Context triple: [Son of Zorn, character, Linda Orvend]
  • A. Linda Orvend chosen
    Linda Orvend is a key character in the live-action/animated comedy series "Son of Zorn," serving as Zorn's ex-wife and the mother of his son, Alan.
  • B. Linda Mar
    Linda Mar is a coastal residential neighborhood in Pacifica, California, known for its popular surfing beach and scenic oceanfront setting.
  • C. Linda Fennimore
    Linda Fennimore is an artist best known for creating the cover art for Stephen King’s horror novel "Pet Sematary."
  • D. Linda Lea
    Linda Lea is a television producer best known for creating the popular cooking competition show "Chopped."
  • E. Linda Nordley
    Linda Nordley is a central female character in the 1953 adventure film "Mogambo," portrayed as a refined Englishwoman whose arrival complicates the romantic and emotional dynamics on an African safari.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fd3614481908b2694b1d3550058 completed April 16, 2026, 2:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9981e0d081909617b5d686905d3a completed May 9, 2026, 8:30 p.m.
Created at: April 10, 2026, 4:46 a.m.