Triple

T13240363
Position Surface form Disambiguated ID Type / Status
Subject Alison Brie E315263 entity
Predicate familyNameAtBirth P18 FINISHED
Object Schermerhorn E315263 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: Schermerhorn | Statement: [Alison Brie, familyNameAtBirth, Schermerhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schermerhorn
Context triple: [Alison Brie, familyNameAtBirth, Schermerhorn]
  • A. Schermerhorn chosen
    Schermerhorn is the birth surname of American actress Alison Brie, known for her roles in "Community" and "Mad Men."
  • B. Gridley Bryant
    Gridley Bryant was a 19th-century American civil engineer best known for pioneering early railroad engineering and construction techniques in the United States.
  • C. Chauncey
    Chauncey is a small village located in Athens County in the southeastern region of Ohio, United States.
  • D. Chauncey
    Chauncey is a masculine given name most famously borne by former NBA player and coach Chauncey Billups.
  • E. Chauncey
    Chauncey is the main character of the horror film "The Horde," around whom the story’s survival-driven conflict and terror unfold.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5850ac8190849a51da39efe5be completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff3438888190b4aecb0b67153ed9 completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:23 p.m.