Triple

T9802637
Position Surface form Disambiguated ID Type / Status
Subject Michael Uslan E237877 entity
Predicate familyName P18 FINISHED
Object Uslan
Uslan is a surname most notably associated with Michael Uslan, the American film producer and comic book historian behind the modern Batman movie franchise.
E821824 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: Uslan | Statement: [Michael Uslan, familyName, Uslan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uslan
Context triple: [Michael Uslan, familyName, Uslan]
  • A. Zaurak
    Zaurak is a red giant star in the constellation Eridanus, known for its deep reddish hue and traditional use in celestial navigation and astrology.
  • B. Waras
    Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
  • C. Ulzana
    Ulzana is a ruthless and cunning Apache war leader whose violent campaign against settlers drives the central conflict of the Western film "Ulzana's Raid."
  • D. Luilang
    Luilang is an extinct Austronesian language once spoken by an indigenous group in northern Taiwan.
  • E. Uzal
    Uzal is a masculine given name of Hebrew origin that appears in biblical genealogies and has been used by various historical figures.
  • 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: Uslan
Triple: [Michael Uslan, familyName, Uslan]
Generated description
Uslan is a surname most notably associated with Michael Uslan, the American film producer and comic book historian behind the modern Batman movie franchise.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Uslan
Target entity description: Uslan is a surname most notably associated with Michael Uslan, the American film producer and comic book historian behind the modern Batman movie franchise.
  • A. Zaurak
    Zaurak is a red giant star in the constellation Eridanus, known for its deep reddish hue and traditional use in celestial navigation and astrology.
  • B. Waras
    Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
  • C. Ulzana
    Ulzana is a ruthless and cunning Apache war leader whose violent campaign against settlers drives the central conflict of the Western film "Ulzana's Raid."
  • D. Luilang
    Luilang is an extinct Austronesian language once spoken by an indigenous group in northern Taiwan.
  • E. Uzal
    Uzal is a masculine given name of Hebrew origin that appears in biblical genealogies and has been used by various historical figures.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda62b41048190bcef70a7591830c6 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c44edac48190a44fdfb858d0dbba completed April 5, 2026, 2:09 a.m.
NEDg Description generation batch_69d1c50af000819087d643cc41a6fcc8 completed April 5, 2026, 2:12 a.m.
NED2 Entity disambiguation (via description) batch_69d1c5d39b288190b276371591a86399 completed April 5, 2026, 2:15 a.m.
Created at: March 30, 2026, 8:29 p.m.