Triple

T13798667
Position Surface form Disambiguated ID Type / Status
Subject Storhamar Hockey E331580 entity
Predicate hasNotablePlayer P9730 FINISHED
Object Erik de la Rose
Erik de la Rose is a Swedish professional ice hockey defenceman known for his play in European leagues, including Norway’s top division.
E1061962 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: Erik de la Rose | Statement: [Storhamar Hockey, hasNotablePlayer, Erik de la Rose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erik de la Rose
Context triple: [Storhamar Hockey, hasNotablePlayer, Erik de la Rose]
  • A. Eric Thibault
    Eric Thibault is a professional basketball coach best known for leading the WNBA’s Washington Mystics.
  • B. David Royel
    David Royel, now known as Mar Awa III, is the Catholicos-Patriarch and worldwide head of the Assyrian Church of the East.
  • C. Dan Mazeau
    Dan Mazeau is an American screenwriter known for working on major Hollywood action and fantasy films, including entries in the Fast & Furious franchise.
  • D. Jean Raoux
    Jean Raoux was a French painter of the late 17th and early 18th centuries, known for his elegant genre scenes and portraits that bridged the Baroque and Rococo styles.
  • E. Eric Grillon
    Eric Grillon is a French local politician who serves as the mayor of the commune of Ablon-sur-Seine in the Île-de-France region.
  • 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: Erik de la Rose
Triple: [Storhamar Hockey, hasNotablePlayer, Erik de la Rose]
Generated description
Erik de la Rose is a Swedish professional ice hockey defenceman known for his play in European leagues, including Norway’s top division.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Erik de la Rose
Target entity description: Erik de la Rose is a Swedish professional ice hockey defenceman known for his play in European leagues, including Norway’s top division.
  • A. Eric Thibault
    Eric Thibault is a professional basketball coach best known for leading the WNBA’s Washington Mystics.
  • B. David Royel
    David Royel, now known as Mar Awa III, is the Catholicos-Patriarch and worldwide head of the Assyrian Church of the East.
  • C. Dan Mazeau
    Dan Mazeau is an American screenwriter known for working on major Hollywood action and fantasy films, including entries in the Fast & Furious franchise.
  • D. Jean Raoux
    Jean Raoux was a French painter of the late 17th and early 18th centuries, known for his elegant genre scenes and portraits that bridged the Baroque and Rococo styles.
  • E. Eric Grillon
    Eric Grillon is a French local politician who serves as the mayor of the commune of Ablon-sur-Seine in the Île-de-France region.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de025ce9148190b23370f6a522ff7a completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b086d6d48190b823ed0a4403fbc5 completed May 3, 2026, 8:31 p.m.
NEDg Description generation batch_69f7b138fda88190b2b7ffb51ce02a40 completed May 3, 2026, 8:34 p.m.
NED2 Entity disambiguation (via description) batch_69f7b28ca218819097fc35042d3b278a completed May 3, 2026, 8:39 p.m.
Created at: April 9, 2026, 10:11 p.m.