Triple

T16634125
Position Surface form Disambiguated ID Type / Status
Subject Dizzy Flores E404154 entity
Predicate servedWith P11944 FINISHED
Object Sugar Watkins
Sugar Watkins is a character from Robert A. Heinlein’s science fiction novel "Starship Troopers," known as a fellow Mobile Infantry trooper and comrade of protagonist Johnny Rico.
E1224132 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: Sugar Watkins | Statement: [Dizzy Flores, servedWith, Sugar Watkins]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sugar Watkins
Context triple: [Dizzy Flores, servedWith, Sugar Watkins]
  • A. Crystal Johnson
    Crystal Johnson is a songwriter best known for co-writing Rihanna's hit single "Only Girl (In the World)."
  • B. Wanda Young
    Wanda Young was an American singer best known as a member and lead vocalist of the Motown girl group The Marvelettes.
  • C. Thelma Evans
    Thelma Evans is a central character on the 1970s sitcom "Good Times," known as the smart, independent, and strong-willed daughter of the Evans family.
  • D. Deborah Roberts
    Deborah Roberts is an American television journalist and correspondent best known for her work with ABC News programs such as 20/20 and Nightline.
  • E. Lelah Foster
    Lelah Foster is a film producer known for her work on the project "Love, Antosha."
  • 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: Sugar Watkins
Triple: [Dizzy Flores, servedWith, Sugar Watkins]
Generated description
Sugar Watkins is a character from Robert A. Heinlein’s science fiction novel "Starship Troopers," known as a fellow Mobile Infantry trooper and comrade of protagonist Johnny Rico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sugar Watkins
Target entity description: Sugar Watkins is a character from Robert A. Heinlein’s science fiction novel "Starship Troopers," known as a fellow Mobile Infantry trooper and comrade of protagonist Johnny Rico.
  • A. Crystal Johnson
    Crystal Johnson is a songwriter best known for co-writing Rihanna's hit single "Only Girl (In the World)."
  • B. Wanda Young
    Wanda Young was an American singer best known as a member and lead vocalist of the Motown girl group The Marvelettes.
  • C. Thelma Evans
    Thelma Evans is a central character on the 1970s sitcom "Good Times," known as the smart, independent, and strong-willed daughter of the Evans family.
  • D. Deborah Roberts
    Deborah Roberts is an American television journalist and correspondent best known for her work with ABC News programs such as 20/20 and Nightline.
  • E. Lelah Foster
    Lelah Foster is a film producer known for her work on the project "Love, Antosha."
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e8a76c8190bf08e6f6dec63c50 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dc05bd881909c6b2e0d95622aa1 completed May 10, 2026, 12:44 p.m.
NEDg Description generation batch_6a007e1909b88190ad2587b5d5433e2e completed May 10, 2026, 12:46 p.m.
NED2 Entity disambiguation (via description) batch_6a007eda229c8190a6b99400141cf0b6 completed May 10, 2026, 12:49 p.m.
Created at: April 10, 2026, 5:17 a.m.