Triple

T15247005
Position Surface form Disambiguated ID Type / Status
Subject Susanna E364408 entity
Predicate hasShortForm P43 FINISHED
Object Sue
Sue is a common English given name, typically used as a short form of Susanna or Susan.
 E1145645 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: Sue | Statement: [Susanna, hasShortForm, Sue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sue
Context triple: [Susanna, hasShortForm, Sue]
  • A. Sue
    Sue is the middle name of Australian conservationist and television personality Bindi Irwin, daughter of the late Steve Irwin.
  • B. Sue
    Sue is the given name of Sue Storm, the Invisible Woman and a central member of Marvel’s superhero team the Fantastic Four.
  • C. Sue
    Sue is the tough, resilient male protagonist of the humorous country song "A Boy Named Sue," whose life is shaped by the hardships caused by his traditionally feminine name.
  • D. Sue
    Sue is a character from the dark comedy film "Bad Santa," known as the love interest of the main antihero, Willie T. Soke.
  • E. Sue
    Sue is a character in the British stage play and film "Abigail's Party," known as a polite, somewhat reserved neighbor who becomes an awkward guest at a disastrous suburban drinks party.
  • 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: Sue
Triple: [Susanna, hasShortForm, Sue]
Generated description
Sue is a common English given name, typically used as a short form of Susanna or Susan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sue
Target entity description: Sue is a common English given name, typically used as a short form of Susanna or Susan.
  • A. Sue
    Sue is the given name of Sue Storm, the Invisible Woman and a central member of Marvel’s superhero team the Fantastic Four.
  • B. Sue
    Sue is the tough, resilient male protagonist of the humorous country song "A Boy Named Sue," whose life is shaped by the hardships caused by his traditionally feminine name.
  • C. Sue
    Sue is a character from the dark comedy film "Bad Santa," known as the love interest of the main antihero, Willie T. Soke.
  • D. Sue
    Sue is a character in the British stage play and film "Abigail's Party," known as a polite, somewhat reserved neighbor who becomes an awkward guest at a disastrous suburban drinks party.
  • E. Sue
    Sue is the middle name of Australian conservationist and television personality Bindi Irwin, daughter of the late Steve Irwin.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007f4f9d48190b96a7e0c6993cd69 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd491cd881908bad9660af9b6b8f completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fedf6ee3f081909553078cd3e9d243 completed May 9, 2026, 7:17 a.m.
NED2 Entity disambiguation (via description) batch_69fee0016a088190ad87268e035f677e completed May 9, 2026, 7:19 a.m.
Created at: April 10, 2026, 3:13 a.m.