Triple

T2484392
Position Surface form Disambiguated ID Type / Status
Subject Eric Lindros E55890 entity
Predicate familyName P18 FINISHED
Object Lindros
Lindros is a surname most famously associated with Eric Lindros, a dominant Canadian ice hockey player and Hall of Famer.
 E271025 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: Lindros | Statement: [Eric Lindros, familyName, Lindros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lindros
Context triple: [Eric Lindros, familyName, Lindros]
  • A. Larsmo
    Larsmo is a coastal municipality in western Finland known for its archipelago and Swedish-speaking majority population.
  • B. Snot Lonstein
    Snot Lonstein is a fictional character from the animated TV series "American Dad!", known as one of Steve Smith's nerdy best friends.
  • C. Erik von Detten
    Erik von Detten is an American actor best known for his work in popular 1990s and 2000s films and television series, including notable voice roles in animated features.
  • D. Rygge
    Rygge is a municipality in southeastern Norway, historically known for its military air station and proximity to the town of Moss.
  • E. Els Borst
    Els Borst was a Dutch politician and physician best known for serving as Minister of Health and for her leading role in legalizing euthanasia in the Netherlands.
  • 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: Lindros
Triple: [Eric Lindros, familyName, Lindros]
Generated description
Lindros is a surname most famously associated with Eric Lindros, a dominant Canadian ice hockey player and Hall of Famer.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lindros
Target entity description: Lindros is a surname most famously associated with Eric Lindros, a dominant Canadian ice hockey player and Hall of Famer.
  • A. Larsmo
    Larsmo is a coastal municipality in western Finland known for its archipelago and Swedish-speaking majority population.
  • B. Snot Lonstein
    Snot Lonstein is a fictional character from the animated TV series "American Dad!", known as one of Steve Smith's nerdy best friends.
  • C. Erik von Detten
    Erik von Detten is an American actor best known for his work in popular 1990s and 2000s films and television series, including notable voice roles in animated features.
  • D. Rygge
    Rygge is a municipality in southeastern Norway, historically known for its military air station and proximity to the town of Moss.
  • E. Els Borst
    Els Borst was a Dutch politician and physician best known for serving as Minister of Health and for her leading role in legalizing euthanasia in the Netherlands.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd175f5ac8190870db9c6cb8e45bd completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17b7b4f08190b23af81c696bba4e completed March 9, 2026, 6:55 p.m.
NEDg Description generation batch_69af1ba6e1408190ac021c1c1d1c3b2e completed March 9, 2026, 7:12 p.m.
NED2 Entity disambiguation (via description) batch_69af1c53dbe481908f73e1fe8d61c32e completed March 9, 2026, 7:15 p.m.
Created at: March 6, 2026, 9:45 p.m.