Triple

T21721613
Position Surface form Disambiguated ID Type / Status
Subject Evan Buckley E536169 entity
Predicate closeFriendOf P8712 FINISHED
Object Howard Han NE NERFINISHED

How this triple was built (2 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: Howard Han | Statement: [Evan Buckley, closeFriendOf, Howard Han]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howard Han
Context triple: [Evan Buckley, closeFriendOf, Howard Han]
  • A. Howard Han chosen
    Howard "Chimney" Han is a central character on the television drama series "9-1-1," known as a dedicated and resourceful firefighter-paramedic with a complex personal history.
  • B. Howard Barnes
    Howard Barnes was a lyricist and songwriter known for collaborating with composer Don Robertson on popular mid-20th-century songs.
  • C. Doug J. Hannah
    Doug J. Hannah is a film editor best known for his work on the science fiction thriller "The Cloverfield Paradox."
  • D. Howard Rodman
    Howard Rodman was an American screenwriter and television writer known for his work on numerous films and TV series from the 1950s through the 1970s.
  • E. Joe Hahn
    Joe Hahn is an American musician and DJ best known as the turntablist and sampler for the rock band Linkin Park.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd96f1fbc8190a202f834aec1a319 completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:47 p.m.