Triple

T6739540
Position Surface form Disambiguated ID Type / Status
Subject Maeve Binchy E154039 entity
Predicate notableWork P4 FINISHED
Object Quentins
Quentins is a contemporary novel by Irish author Maeve Binchy that centers on the intertwined lives and stories connected to a beloved Dublin restaurant.
 E616785 NE FINISHED

How this triple was built (4 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: Quentins | Statement: [Maeve Binchy, notableWork, Quentins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Quentins
Context triple: [Maeve Binchy, notableWork, Quentins]
  • A. Quentin
    Quentin is a fictional character appearing in the post-apocalyptic virtual reality shooter game "After the Fall."
  • B. Quentin
    Quentin is a masculine given name most famously associated with British illustrator and children's author Quentin Blake.
  • C. Quentin
    Quentin is a character from the British comedy film "The Boat That Rocked," which follows the antics of a 1960s pirate radio station broadcasting rock music to the UK.
  • D. Quintin
    Quintin is a masculine given name of Latin origin, derived from "Quintinus" and traditionally associated with the meaning "fifth."
  • E. Quint
    Quint is the grizzled, obsessive shark hunter in the film "Jaws," known for his monologue about the USS Indianapolis and his fatal showdown with the great white shark.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Quentins
Triple: [Maeve Binchy, notableWork, Quentins]
Generated description
Quentins is a contemporary novel by Irish author Maeve Binchy that centers on the intertwined lives and stories connected to a beloved Dublin restaurant.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Quentins
Target entity description: Quentins is a contemporary novel by Irish author Maeve Binchy that centers on the intertwined lives and stories connected to a beloved Dublin restaurant.
  • A. Quentin
    Quentin is a fictional character appearing in the post-apocalyptic virtual reality shooter game "After the Fall."
  • B. Quentin
    Quentin is a masculine given name most famously associated with British illustrator and children's author Quentin Blake.
  • C. Quentin
    Quentin is a character from the British comedy film "The Boat That Rocked," which follows the antics of a 1960s pirate radio station broadcasting rock music to the UK.
  • D. Quintin
    Quintin is a masculine given name of Latin origin, derived from "Quintinus" and traditionally associated with the meaning "fifth."
  • E. Quint
    Quint is the grizzled, obsessive shark hunter in the film "Jaws," known for his monologue about the USS Indianapolis and his fatal showdown with the great white shark.
  • F. None of above. chosen

Provenance (5 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_69c6880d84d8819095d19de2295f26ac completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d187c8788190b9fc1ebc9a66a520 completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b0db3f481909b5281c63cc32dd1 completed March 27, 2026, 10:56 p.m.
NEDg Description generation batch_69c70b83f24c819091a6a2a7802c830f completed March 27, 2026, 10:58 p.m.
NED2 Entity disambiguation (via description) batch_69c70f676e408190bc85a2760446d5d1 completed March 27, 2026, 11:14 p.m.
Created at: March 27, 2026, 2:10 p.m.