Triple

T8501002
Position Surface form Disambiguated ID Type / Status
Subject Tom Wolfe E201213 entity
Predicate notableWork P4 FINISHED
Object Back to Blood
Back to Blood is a 2012 novel by Tom Wolfe that satirically explores race, class, and immigrant life in contemporary Miami.
 E740067 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: Back to Blood | Statement: [Tom Wolfe, notableWork, Back to Blood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Back to Blood
Context triple: [Tom Wolfe, notableWork, Back to Blood]
  • A. In the Blood
    "In the Blood" is a reflective pop-rock song by John Mayer that explores themes of identity and inherited traits, featured on his 2017 album *The Search for Everything*.
  • B. Bloods
    Bloods is a popular nickname for the Sydney Swans, an Australian Football League club known for its red-and-white colors and strong team culture.
  • C. Bloods
    Bloods is a predominantly African-American street gang that originated in Los Angeles and is known for its rivalry with the Crips and its nationwide network of affiliated sets.
  • D. Pay in Blood
    "Pay in Blood" is a dark, hard-edged song by Bob Dylan from his 2012 album *Tempest*, noted for its violent biblical imagery and bitter, vengeful tone.
  • E. I’m Blooded
    "I’m Blooded" is a track featured on the album "Dedication 2" by Lil Wayne and DJ Drama.
  • 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: Back to Blood
Triple: [Tom Wolfe, notableWork, Back to Blood]
Generated description
Back to Blood is a 2012 novel by Tom Wolfe that satirically explores race, class, and immigrant life in contemporary Miami.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Back to Blood
Target entity description: Back to Blood is a 2012 novel by Tom Wolfe that satirically explores race, class, and immigrant life in contemporary Miami.
  • A. In the Blood
    "In the Blood" is a reflective pop-rock song by John Mayer that explores themes of identity and inherited traits, featured on his 2017 album *The Search for Everything*.
  • B. Bloods
    Bloods is a popular nickname for the Sydney Swans, an Australian Football League club known for its red-and-white colors and strong team culture.
  • C. Bloods
    Bloods is a predominantly African-American street gang that originated in Los Angeles and is known for its rivalry with the Crips and its nationwide network of affiliated sets.
  • D. Pay in Blood
    "Pay in Blood" is a dark, hard-edged song by Bob Dylan from his 2012 album *Tempest*, noted for its violent biblical imagery and bitter, vengeful tone.
  • E. I’m Blooded
    "I’m Blooded" is a track featured on the album "Dedication 2" by Lil Wayne and DJ Drama.
  • 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_69ca831fe47c8190b5c57b456d2aefa0 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5996ce88190956cb3f8d9ad3daf completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e1da7388190855ccd2e4292fd26 completed April 2, 2026, 11:08 a.m.
NEDg Description generation batch_69ce4ff668d4819081f4c3186437291b completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce54cc52cc81908ca48c93956ca86e completed April 2, 2026, 11:36 a.m.
Created at: March 30, 2026, 6:14 p.m.