Triple

T16204797
Position Surface form Disambiguated ID Type / Status
Subject Erin Moran E393297 entity
Predicate birthName P65 FINISHED
Object Erin Marie Moran E393297 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: Erin Marie Moran | Statement: [Erin Moran, birthName, Erin Marie Moran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erin Marie Moran
Context triple: [Erin Moran, birthName, Erin Marie Moran]
  • A. Erin Moran chosen
    Erin Moran was an American actress best known for playing Joanie Cunningham on the classic television sitcom "Happy Days" and its spin-off "Joanie Loves Chachi."
  • B. Rachel Van Dyken
    Rachel Van Dyken is a contemporary American author best known for her popular romance novels and New York Times bestselling series.
  • C. Laura Marano
    Laura Marano is an American actress and singer best known for starring as Ally Dawson on the Disney Channel series "Austin & Ally."
  • D. Molly Neuman
    Molly Neuman is an American musician and feminist known as a pioneering figure in the riot grrrl movement, particularly through her work as the drummer for influential punk bands like Bratmobile.
  • E. Melissa Bernstein
    Melissa Bernstein is an American television and film producer best known for her work on acclaimed series such as Breaking Bad and Better Call Saul, as well as their related projects.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2270d6e5c8190aee4bcca76cbe47c completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f860ecc8190be904fa793968d89 completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:03 a.m.