Triple

T21441781
Position Surface form Disambiguated ID Type / Status
Subject Katy Lied E528954 entity
Predicate track P17929 FINISHED
Object Doctor Wu
"Doctor Wu" is a jazz-influenced rock song by Steely Dan from their 1975 album *Katy Lied*, noted for its cryptic lyrics and sophisticated arrangement.
 E1484708 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: Doctor Wu | Statement: [Katy Lied, track, Doctor Wu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Doctor Wu
Context triple: [Katy Lied, track, Doctor Wu]
  • A. Doctor X
    Doctor X is a fictional universe or series featuring the character Lee Taylor.
  • B. Doctor X
    Doctor X is a 1932 pre-Code horror mystery film noted for its early use of two-color Technicolor and starring Fay Wray and Lionel Atwill.
  • C. Doctor X
    Doctor X is the superhero alias of Dr. Jerry Xavier, a character typically portrayed as a brilliant scientist who uses advanced technology and intellect to combat threats.
  • D. Amok
    Amok is a song by the supergroup Atoms for Peace, featured as the title track on their debut album that blends experimental rock with electronic influences.
  • E. Amok
    "Amok" is a psychological novella by Stefan Zweig that explores obsession, guilt, and self-destruction through the fevered confession of a doctor in colonial Southeast Asia.
  • 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: Doctor Wu
Triple: [Katy Lied, track, Doctor Wu]
Generated description
"Doctor Wu" is a jazz-influenced rock song by Steely Dan from their 1975 album *Katy Lied*, noted for its cryptic lyrics and sophisticated arrangement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Doctor Wu
Target entity description: "Doctor Wu" is a jazz-influenced rock song by Steely Dan from their 1975 album *Katy Lied*, noted for its cryptic lyrics and sophisticated arrangement.
  • A. Doctor X
    Doctor X is a fictional universe or series featuring the character Lee Taylor.
  • B. Doctor X
    Doctor X is a 1932 pre-Code horror mystery film noted for its early use of two-color Technicolor and starring Fay Wray and Lionel Atwill.
  • C. Doctor X
    Doctor X is the superhero alias of Dr. Jerry Xavier, a character typically portrayed as a brilliant scientist who uses advanced technology and intellect to combat threats.
  • D. Amok
    Amok is a song by the supergroup Atoms for Peace, featured as the title track on their debut album that blends experimental rock with electronic influences.
  • E. Amok
    "Amok" is a psychological novella by Stefan Zweig that explores obsession, guilt, and self-destruction through the fevered confession of a doctor in colonial Southeast Asia.
  • 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b7022a5081908d9ad5058cecb8e5 completed April 22, 2026, 11:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c90127ec8190a82c20c4168ad7c3 completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09c993004c81909cc0224947c178e0 completed May 17, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_6a09ca14cfcc81908565427b504d815e completed May 17, 2026, 2 p.m.
Created at: April 16, 2026, 6:05 p.m.