Triple

T14581583
Position Surface form Disambiguated ID Type / Status
Subject Franco Nero E342204 entity
Predicate portrayed P1668 FINISHED
Object Django (character)
Django is a fictional, iconic gunslinger from Italian Spaghetti Western films, best known as the coffin-dragging antihero of the 1966 movie "Django."
 E1109088 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: Django (character) | Statement: [Franco Nero, portrayed, Django (character)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Django (character)
Context triple: [Franco Nero, portrayed, Django (character)]
  • A. Bill Django
    Bill Django is a fictional U.S. Army officer and founder of a secret psychic military unit in the satirical war film "The Men Who Stare at Goats."
  • B. Pym
    Pym is an English surname most notably associated with John Pym, a leading parliamentary figure in the early stages of the English Civil War.
  • C. Dash
    Dash is a National Women's Soccer League team based in Houston, Texas, competing under the full name Houston Dash.
  • D. Dash
    Dash is the stage name used by American rapper and songwriter Roscoe Dash, known for his melodic hooks and contributions to early 2010s hip hop hits.
  • E. Dash
    Dash is a precognitive young man in the television adaptation of "Minority Report" who uses his visions of future crimes to help prevent them.
  • 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: Django (character)
Triple: [Franco Nero, portrayed, Django (character)]
Generated description
Django is a fictional, iconic gunslinger from Italian Spaghetti Western films, best known as the coffin-dragging antihero of the 1966 movie "Django."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Django (character)
Target entity description: Django is a fictional, iconic gunslinger from Italian Spaghetti Western films, best known as the coffin-dragging antihero of the 1966 movie "Django."
  • A. Bill Django
    Bill Django is a fictional U.S. Army officer and founder of a secret psychic military unit in the satirical war film "The Men Who Stare at Goats."
  • B. Pym
    Pym is an English surname most notably associated with John Pym, a leading parliamentary figure in the early stages of the English Civil War.
  • C. Dash
    Dash is a National Women's Soccer League team based in Houston, Texas, competing under the full name Houston Dash.
  • D. Dash
    Dash is the stage name used by American rapper and songwriter Roscoe Dash, known for his melodic hooks and contributions to early 2010s hip hop hits.
  • E. Dash
    Dash is a precognitive young man in the television adaptation of "Minority Report" who uses his visions of future crimes to help prevent them.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb41e71748190a1deacc819dd26d3 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94ba235c81909e0408ccf2be9628 completed May 8, 2026, 7:46 a.m.
NEDg Description generation batch_69fd9619f33881908e8d95ef09256d34 completed May 8, 2026, 7:51 a.m.
NED2 Entity disambiguation (via description) batch_69fd96e97ec48190aae9b25ce7154802 completed May 8, 2026, 7:55 a.m.
Created at: April 10, 2026, 1:24 a.m.