Triple

T10547859
Position Surface form Disambiguated ID Type / Status
Subject Lightnin’ Hopkins E248867 entity
Predicate notableWork P4 FINISHED
Object Mojo Hand
"Mojo Hand" is a classic blues song by Texas guitarist and singer Lightnin’ Hopkins, widely regarded as one of his signature recordings.
E870103 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: Mojo Hand | Statement: [Lightnin’ Hopkins, notableWork, Mojo Hand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mojo Hand
Context triple: [Lightnin’ Hopkins, notableWork, Mojo Hand]
  • A. Mojo
    Mojo is a 2010 blues-rock–oriented studio album by Tom Petty and the Heartbreakers that marked their return to a raw, live-in-the-studio sound.
  • B. Mojo
    Mojo is a darkly comic stage play by British playwright Jez Butterworth, set in 1950s Soho and centered on the seedy underworld of a London nightclub.
  • C. Mojo
    Mojo is a town in central Ethiopia located along major transport routes southeast of Addis Ababa.
  • D. Mojo So Dope
    "Mojo So Dope" is a track by Kid Cudi from his album *Man on the Moon II: The Legend of Mr. Rager*, known for its introspective lyrics and atmospheric production.
  • E. Moxyland
    Moxyland is a dystopian science fiction novel by South African author Lauren Beukes that explores corporate control, technology, and social inequality in a near-future Cape Town.
  • 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: Mojo Hand
Triple: [Lightnin’ Hopkins, notableWork, Mojo Hand]
Generated description
"Mojo Hand" is a classic blues song by Texas guitarist and singer Lightnin’ Hopkins, widely regarded as one of his signature recordings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mojo Hand
Target entity description: "Mojo Hand" is a classic blues song by Texas guitarist and singer Lightnin’ Hopkins, widely regarded as one of his signature recordings.
  • A. Mojo
    Mojo is a darkly comic stage play by British playwright Jez Butterworth, set in 1950s Soho and centered on the seedy underworld of a London nightclub.
  • B. Mojo
    Mojo is a 2010 blues-rock–oriented studio album by Tom Petty and the Heartbreakers that marked their return to a raw, live-in-the-studio sound.
  • C. Mojo
    Mojo is a town in central Ethiopia located along major transport routes southeast of Addis Ababa.
  • D. Mojo So Dope
    "Mojo So Dope" is a track by Kid Cudi from his album *Man on the Moon II: The Legend of Mr. Rager*, known for its introspective lyrics and atmospheric production.
  • E. Moxyland
    Moxyland is a dystopian science fiction novel by South African author Lauren Beukes that explores corporate control, technology, and social inequality in a near-future Cape Town.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d526d20ef48190ab9f70d4ce5f2a11 completed April 7, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69d93457af7c819090f576ae606c5849 completed April 10, 2026, 5:33 p.m.
NEDg Description generation batch_69d938c8b25c8190bb048053d8668e5c completed April 10, 2026, 5:52 p.m.
NED2 Entity disambiguation (via description) batch_69d939b1844881908c8fbcb9488863f6 completed April 10, 2026, 5:56 p.m.
Created at: April 6, 2026, 12:33 p.m.