Triple

T17718685
Position Surface form Disambiguated ID Type / Status
Subject Lehigh Valley Phantoms E442272 entity
Predicate hasMascot P52 FINISHED
Object meLVin
meLVin is the official mascot of the Lehigh Valley Phantoms, a minor league ice hockey team in the American Hockey League.
E1283665 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: meLVin | Statement: [Lehigh Valley Phantoms, hasMascot, meLVin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: meLVin
Context triple: [Lehigh Valley Phantoms, hasMascot, meLVin]
  • A. MVL
    MVL is the abbreviation for the Man Vehicle Laboratory, a research lab focused on human factors and human–machine interaction in aerospace and related fields.
  • B. MVL
    MVL is the three-letter National Rail station code for Malvern Link railway station in Worcestershire, England.
  • C. MALEV
    MALEV was the callsign of Malév Hungarian Airlines, the former flag carrier and principal airline of Hungary.
  • D. LEVEN
    LEVEN is a coastal town in Fife, Scotland, known for its sandy beach, golf courses, and role as a local service and tourism centre.
  • E. MEL
    MEL is the commonly used acronym for the Métropole Européenne de Lille, the intercommunal metropolitan authority centered on the city of Lille in northern France.
  • 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: meLVin
Triple: [Lehigh Valley Phantoms, hasMascot, meLVin]
Generated description
meLVin is the official mascot of the Lehigh Valley Phantoms, a minor league ice hockey team in the American Hockey League.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: meLVin
Target entity description: meLVin is the official mascot of the Lehigh Valley Phantoms, a minor league ice hockey team in the American Hockey League.
  • A. MVL
    MVL is the abbreviation for the Man Vehicle Laboratory, a research lab focused on human factors and human–machine interaction in aerospace and related fields.
  • B. MVL
    MVL is the three-letter National Rail station code for Malvern Link railway station in Worcestershire, England.
  • C. MALEV
    MALEV was the callsign of Malév Hungarian Airlines, the former flag carrier and principal airline of Hungary.
  • D. LEVEN
    LEVEN is a coastal town in Fife, Scotland, known for its sandy beach, golf courses, and role as a local service and tourism centre.
  • E. MEL
    MEL is the commonly used acronym for the Métropole Européenne de Lille, the intercommunal metropolitan authority centered on the city of Lille in northern France.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e474834aec81909ab7e8224c5a39d7 completed April 19, 2026, 6:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02302bd9b08190979ee441035b17bb completed May 11, 2026, 7:38 p.m.
NEDg Description generation batch_6a023192ea9c819096bf6ed8952f21c4 completed May 11, 2026, 7:44 p.m.
NED2 Entity disambiguation (via description) batch_6a02321a9c6c8190a86ebfdcfa32f786 completed May 11, 2026, 7:46 p.m.
Created at: April 10, 2026, 10:06 a.m.