Triple

T17131903
Position Surface form Disambiguated ID Type / Status
Subject Henrik Lundqvist E415738 entity
Predicate nickname P55 FINISHED
Object Hank
Hank is the popular nickname of Henrik Lundqvist, the Swedish former NHL goaltender and New York Rangers legend.
E415738 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: Hank | Statement: [Henrik Lundqvist, nickname, Hank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hank
Context triple: [Henrik Lundqvist, nickname, Hank]
  • A. Hank
    Hank is the curmudgeonly but soft-hearted septopus (seven-tentacled octopus) who helps Dory on her journey in Pixar's animated film "Finding Dory."
  • B. Hank
    Hank is the nickname of Hank Stram, a Hall of Fame American football coach best known for leading the Kansas City Chiefs to multiple AFL titles and a Super Bowl victory.
  • C. Hank
    Hank is the nickname of American country music songwriter Hank Cochran, known for penning numerous classic hits in the genre.
  • D. Hank
    Hank is the central character in the 1996 drama film "Marvin's Room," around whom the story’s family conflicts and emotional developments revolve.
  • E. Hank
    Hank is the nickname of Hank Greenberg, a Hall of Fame American baseball player renowned as one of the greatest power hitters of the 1930s and 1940s.
  • 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: Hank
Triple: [Henrik Lundqvist, nickname, Hank]
Generated description
Hank is the popular nickname of Henrik Lundqvist, the Swedish former NHL goaltender and New York Rangers legend.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hank
Target entity description: Hank is the popular nickname of Henrik Lundqvist, the Swedish former NHL goaltender and New York Rangers legend.
  • A. Hank chosen
    Hank is the popular nickname of Henrik Lundqvist, the Swedish Hockey Hall of Fame goaltender best known for his stellar NHL career with the New York Rangers.
  • B. Hank
    Hank is the nickname of Hank Greenberg, a Hall of Fame American baseball player renowned as one of the greatest power hitters of the 1930s and 1940s.
  • C. Hank
    Hank is the nickname of Hank Stram, a Hall of Fame American football coach best known for leading the Kansas City Chiefs to multiple AFL titles and a Super Bowl victory.
  • D. Hank
    Hank is a male given name commonly used in English-speaking countries, often associated with American culture and notable figures in sports and entertainment.
  • E. Hank
    Hank is the nickname of Hank Mobley, a prominent American hard bop jazz tenor saxophonist known for his lyrical style and influential recordings on the Blue Note label.
  • F. None of above.

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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f02a9fbc81909d820d29417aa55c completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01414eca3c8190aeec22fab3b5e767 completed May 11, 2026, 2:39 a.m.
NEDg Description generation batch_6a01423a771881908c2eaff14e335ee2 completed May 11, 2026, 2:43 a.m.
NED2 Entity disambiguation (via description) batch_6a01430b7e008190bc3366cc89564409 completed May 11, 2026, 2:46 a.m.
Created at: April 10, 2026, 5:36 a.m.