Triple

T22673581
Position Surface form Disambiguated ID Type / Status
Subject The Last Flight of Noah's Ark E560284 entity
Predicate starring P1507 FINISHED
Object Tammy Lauren 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: Tammy Lauren | Statement: [The Last Flight of Noah's Ark, starring, Tammy Lauren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tammy Lauren
Context triple: [The Last Flight of Noah's Ark, starring, Tammy Lauren]
  • A. Tammy Lauren chosen
    Tammy Lauren is an American actress best known for her starring role in the 1997 horror film "Wishmaster" and for numerous appearances in television series.
  • B. Tammy Collins
    Tammy Collins is the wife of Grammy-winning gospel musician and choir director Kirk Franklin, known for her supportive role in his personal life and ministry.
  • C. Tammy Townsend
    Tammy Townsend is an American actress and singer best known for her roles in television series such as "Family Matters" and "K.C. Undercover."
  • D. Tammy Lucas
    Tammy Lucas is an American R&B singer and songwriter known for her collaborations with prominent hip-hop artists and producers in the 1990s.
  • E. Tammy Miller
    Tammy Miller is known as the spouse of American actor Joel McKinnon Miller, recognized for his roles in television and film.
  • 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_69e2454bfd00819099115715a22cb057 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17821daf88190b18a73a222fc22fb completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:10 p.m.