Triple

T14710976
Position Surface form Disambiguated ID Type / Status
Subject Fastlane E345545 entity
Predicate portrayedBy P1507 FINISHED
Object Tiffani Thiessen E354739 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: Tiffani Thiessen | Statement: [Fastlane, portrayedBy, Tiffani Thiessen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiffani Thiessen
Context triple: [Fastlane, portrayedBy, Tiffani Thiessen]
  • A. Tiffani Thiessen chosen
    Tiffani Thiessen is an American actress best known for her roles on the television series "Saved by the Bell" and "Beverly Hills, 90210."
  • B. Alice Patten
    Alice Patten is a British actress best known internationally for her role as an English documentary filmmaker in the acclaimed Indian film "Rang De Basanti."
  • C. Natalie Zea
    Natalie Zea is an American actress best known for her television work in series such as Justified, The Following, and The Detour.
  • D. Melissa Sue Anderson
    Melissa Sue Anderson is an American actress best known for her role as Mary Ingalls on the television series "Little House on the Prairie."
  • E. Allison Mack
    Allison Mack is an American actress best known for her role as Chloe Sullivan on the television series "Smallville."
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb9814e0c8190984ac30d276499cc completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff218b93d48190a7e16c3934828aa8 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 1:28 a.m.