Triple

T23237722
Position Surface form Disambiguated ID Type / Status
Subject Delmar, Delaware E581348 entity
Predicate nickname P55 FINISHED
Object The Town Too Big for One State NE NERFINISHED

How this triple was built (3 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: The Town Too Big for One State | Statement: [Delmar, Delaware, nickname, The Town Too Big for One State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Town Too Big for One State
Context triple: [Delmar, Delaware, nickname, The Town Too Big for One State]
  • A. The Town Too Tough to Tame
    The Town Too Tough to Tame is a nickname for Darlington, South Carolina, reflecting its resilient character and storied history, particularly in stock car racing.
  • B. The Town
    The Town is a 2010 crime thriller film directed by and starring Ben Affleck, centered on a crew of Boston bank robbers and the personal and moral conflicts that arise after one of them falls for a former hostage.
  • C. The Town
    "The Town" is a moody, atmospheric R&B track by The Weeknd that showcases his signature dark, introspective storytelling and vocal style.
  • D. The Town
    The Town is a historical novel by Conrad Richter that continues his acclaimed saga of early American frontier life, following a pioneer family as their wilderness settlement grows into a town.
  • E. The Town
    The Town is a 1957 novel by William Faulkner, part of his Snopes trilogy, that explores the rise of the Snopes family and the changing social fabric of the fictional Yoknapatawpha County.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: The Town Too Big for One State
Target entity description: The Town Too Big for One State is the nickname of Delmar, a small community uniquely situated on the border of Delaware and Maryland, effectively spanning two states.
  • A. The Town Too Tough to Tame
    The Town Too Tough to Tame is a nickname for Darlington, South Carolina, reflecting its resilient character and storied history, particularly in stock car racing.
  • B. The Town
    "The Town" is a moody, atmospheric R&B track by The Weeknd that showcases his signature dark, introspective storytelling and vocal style.
  • C. The Town
    The Town is a 1957 novel by William Faulkner, part of his Snopes trilogy, that explores the rise of the Snopes family and the changing social fabric of the fictional Yoknapatawpha County.
  • D. The Town
    The Town is a 2010 crime thriller film directed by and starring Ben Affleck, centered on a crew of Boston bank robbers and the personal and moral conflicts that arise after one of them falls for a former hostage.
  • E. The Town
    The Town is the main settlement on the island of Bryher in the Isles of Scilly, serving as its central residential and service hub.
  • F. None of above. chosen

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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192ea590c81908cd677d89f67d49f completed April 29, 2026, 5:11 a.m.
Created at: April 17, 2026, 4:09 p.m.