Triple

T1313082
Position Surface form Disambiguated ID Type / Status
Subject Winfield Scott Hancock E28038 entity
Predicate givenName P17 FINISHED
Object Winfield E72419 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: Winfield | Statement: [Winfield Scott Hancock, givenName, Winfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winfield
Context triple: [Winfield Scott Hancock, givenName, Winfield]
  • A. Winfield chosen
    Winfield is a masculine given name most notably borne by 19th-century American military leader Winfield Scott.
  • B. Lawrence
    Lawrence is a historic mill city in northeastern Massachusetts that developed as a major textile manufacturing center along the Merrimack River.
  • C. Lawrence
    Lawrence is the formal given name of Larry Ellison, the billionaire co-founder and longtime leader of Oracle Corporation.
  • D. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • E. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • 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_69a498532c3481909223b74af2e578df completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c1585d3081909ca0221c23de63ba completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace55f2c288190b8315794b11a7e65 completed March 8, 2026, 2:56 a.m.
Created at: March 1, 2026, 7:55 p.m.