Triple

T854417
Position Surface form Disambiguated ID Type / Status
Subject Vincent E18457 entity
Predicate hasShortForm P43 FINISHED
Object Vin
Vin is a common shortened form of the given name Vincent, often used as an informal or familiar nickname.
 E99211 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: Vin | Statement: [Vincent, hasShortForm, Vin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vin
Context triple: [Vincent, hasShortForm, Vin]
  • A. Val
    Val is the Allied reporting name for the Aichi D3A, a Japanese World War II carrier-based dive bomber used prominently in early Pacific naval battles.
  • B. VELO
    VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
  • C. NV
    NV is the official two-letter United States Postal Service abbreviation for the state of Nevada.
  • D. VIR
    VIR is the ICAO airline designator used to identify Virgin Atlantic in international aviation operations.
  • E. V.
    V. is Thomas Pynchon's 1963 debut novel, a complex, postmodern work that interweaves multiple narratives and historical periods in a quest surrounding the mysterious figure or concept known only as "V."
  • 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: Vin
Triple: [Vincent, hasShortForm, Vin]
Generated description
Vin is a common shortened form of the given name Vincent, often used as an informal or familiar nickname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vin
Target entity description: Vin is a common shortened form of the given name Vincent, often used as an informal or familiar nickname.
  • A. Val
    Val is the Allied reporting name for the Aichi D3A, a Japanese World War II carrier-based dive bomber used prominently in early Pacific naval battles.
  • B. VELO
    VELO is the high-precision vertex detector of the LHCb experiment at CERN, designed to measure particle trajectories very close to the proton–proton collision point.
  • C. NV
    NV is the official two-letter United States Postal Service abbreviation for the state of Nevada.
  • D. VIR
    VIR is the ICAO airline designator used to identify Virgin Atlantic in international aviation operations.
  • E. V.
    V. is Thomas Pynchon's 1963 debut novel, a complex, postmodern work that interweaves multiple narratives and historical periods in a quest surrounding the mysterious figure or concept known only as "V."
  • 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_69a4938bdd3c8190a954a3c11844d9cf completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac3a48c08190b4677d825fcbfaf9 completed March 1, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a792a29f448190b96d934656e5399e completed March 4, 2026, 2:02 a.m.
NEDg Description generation batch_69a79335d99c819098c72e7a86ad1130 completed March 4, 2026, 2:04 a.m.
NED2 Entity disambiguation (via description) batch_69a793c612d88190bce254142bd75f67 completed March 4, 2026, 2:07 a.m.
Created at: March 1, 2026, 7:39 p.m.