Triple

T15670727
Position Surface form Disambiguated ID Type / Status
Subject Greg LeMond E377303 entity
Predicate team P3756 FINISHED
Object Z–Tomasso
Z–Tomasso was a professional cycling team best known for featuring three-time Tour de France winner Greg LeMond during his racing career.
E1170137 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: Z–Tomasso | Statement: [Greg LeMond, team, Z–Tomasso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Z–Tomasso
Context triple: [Greg LeMond, team, Z–Tomasso]
  • A. Tomasso
    Tomasso is a character from the Marx Brothers’ classic comedy film "A Night at the Opera," contributing to the movie’s farcical and musical antics.
  • B. Tomaz
    Tomaz is the protagonist of the story "Amulet," around whom the central plot and character development revolve.
  • C. Tommaso
    Tommaso is the given name of Thomas Francis, Prince of Carignano, a 17th-century Italian nobleman of the House of Savoy.
  • D. Tommaso
    Tommaso is a semi-autobiographical 2019 drama film by Abel Ferrara starring Willem Dafoe as a filmmaker confronting addiction, creativity, and personal turmoil in Rome.
  • E. Tomas
    Tomas is a masculine given name commonly used in various European and Latin American countries, often equivalent to "Thomas" in English.
  • 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: Z–Tomasso
Triple: [Greg LeMond, team, Z–Tomasso]
Generated description
Z–Tomasso was a professional cycling team best known for featuring three-time Tour de France winner Greg LeMond during his racing career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Z–Tomasso
Target entity description: Z–Tomasso was a professional cycling team best known for featuring three-time Tour de France winner Greg LeMond during his racing career.
  • A. Tomasso
    Tomasso is a character from the Marx Brothers’ classic comedy film "A Night at the Opera," contributing to the movie’s farcical and musical antics.
  • B. Tomaz
    Tomaz is the protagonist of the story "Amulet," around whom the central plot and character development revolve.
  • C. Tommaso
    Tommaso is a semi-autobiographical 2019 drama film by Abel Ferrara starring Willem Dafoe as a filmmaker confronting addiction, creativity, and personal turmoil in Rome.
  • D. Tommaso
    Tommaso is the given name of Thomas Francis, Prince of Carignano, a 17th-century Italian nobleman of the House of Savoy.
  • E. Tomas
    Tomas is a masculine given name commonly used in various European and Latin American countries, often equivalent to "Thomas" in English.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f1254508190a77a16b7bfd299ad completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67a431208190b7e0d1eefd55504a completed May 9, 2026, 4:58 p.m.
NEDg Description generation batch_69ff6959c200819098d11682b3078766 completed May 9, 2026, 5:05 p.m.
NED2 Entity disambiguation (via description) batch_69ff69b4b9dc8190920c399b737cf2a3 completed May 9, 2026, 5:07 p.m.
Created at: April 10, 2026, 4:16 a.m.