Triple

T14883684
Position Surface form Disambiguated ID Type / Status
Subject Bindi Irwin E350062 entity
Predicate middleName P143 FINISHED
Object Sue
Sue is the middle name of Australian conservationist and television personality Bindi Irwin, daughter of the late Steve Irwin.
 E1124999 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: [Bindi Irwin, middleName, Sue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sue
Context triple: [Bindi Irwin, middleName, Sue]
  • 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 a character from the dark comedy film "Bad Santa," known as the love interest of the main antihero, Willie T. Soke.
  • 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 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. Suzie
    Suzie is a brilliant, tech-savvy girl from Stranger Things who helps Dustin Henderson and his friends by providing crucial scientific and hacking assistance.
  • 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: [Bindi Irwin, middleName, Sue]
Generated description
Sue is the middle name of Australian conservationist and television personality Bindi Irwin, daughter of the late Steve Irwin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sue
Target entity description: Sue is the middle name of Australian conservationist and television personality Bindi Irwin, daughter of the late Steve Irwin.
  • 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. Suzie
    Suzie is a brilliant, tech-savvy girl from Stranger Things who helps Dustin Henderson and his friends by providing crucial scientific and hacking assistance.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5f4598081908735e8d7dfce8074 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b5af8208190a35451477ea20b03 completed May 8, 2026, 11:01 p.m.
NEDg Description generation batch_69fe6cc2ccb0819081e32dc9d2e3973a completed May 8, 2026, 11:07 p.m.
NED2 Entity disambiguation (via description) batch_69fe6d9e9a648190920206c8f75cae2e completed May 8, 2026, 11:11 p.m.
Created at: April 10, 2026, 1:56 a.m.