Triple

T5043611
Position Surface form Disambiguated ID Type / Status
Subject Terror in a Texas Town E113605 entity
Predicate starring P1507 FINISHED
Object Marilee Earle E665303 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: Marilee Earle | Statement: [Terror in a Texas Town, starring, Marilee Earle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marilee Earle
Context triple: [Terror in a Texas Town, starring, Marilee Earle]
  • A. Marilee Earle chosen
    Marilee Earle is an actress best known for her role in the 1958 Western film "Terror in a Texas Town."
  • B. Sonja Norwood
    Sonja Norwood is an American talent manager and television personality best known for managing the careers of her children, singer-actress Brandy and entertainer Ray J.
  • C. Sherry Nelson
    Sherry Nelson is known as the former spouse of Academy Award–winning American actor Rod Steiger.
  • D. Marjorie Hearn
    Marjorie Hearn was the longtime wife and partner of legendary Los Angeles Lakers broadcaster Chick Hearn.
  • E. Dorothy Peterson
    Dorothy Peterson was an American character actress active in the early to mid-20th century, known for her numerous supporting roles in Hollywood films.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73fc04f08190aba851fa0192d0fb completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83414c374819085ca1e441728c6af completed March 28, 2026, 8:03 p.m.
Created at: March 20, 2026, 1:37 p.m.