Triple

T10467588
Position Surface form Disambiguated ID Type / Status
Subject Beeban Kidron E246836 entity
Predicate givenName P17 FINISHED
Object Beeban
Beeban is a feminine given name most notably borne by British film director Beeban Kidron.
E865375 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: Beeban | Statement: [Beeban Kidron, givenName, Beeban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beeban
Context triple: [Beeban Kidron, givenName, Beeban]
  • A. Beeby
    Beeby is a surname most notably associated with American architect Thomas Beeby, a prominent figure in postmodern and classical revival design.
  • B. Beesel
    Beesel is a small municipality and village in the Dutch province of Limburg, known for its rural character and traditional cultural events.
  • C. Bee
    Bee is a common English surname shared by various individuals, including the comedian and television host Samantha Bee.
  • D. The Bee
    The Bee is the 16th chapter of the Qur'an, known for its emphasis on God's blessings, signs in nature, and guidance for righteous living.
  • E. Boambee
    Boambee is a coastal locality in New South Wales, Australia, situated near the town of Sawtell and known for its residential areas and natural surroundings.
  • 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: Beeban
Triple: [Beeban Kidron, givenName, Beeban]
Generated description
Beeban is a feminine given name most notably borne by British film director Beeban Kidron.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beeban
Target entity description: Beeban is a feminine given name most notably borne by British film director Beeban Kidron.
  • A. Beeby
    Beeby is a surname most notably associated with American architect Thomas Beeby, a prominent figure in postmodern and classical revival design.
  • B. Beesel
    Beesel is a small municipality and village in the Dutch province of Limburg, known for its rural character and traditional cultural events.
  • C. Bee
    Bee is a common English surname shared by various individuals, including the comedian and television host Samantha Bee.
  • D. The Bee
    The Bee is the 16th chapter of the Qur'an, known for its emphasis on God's blessings, signs in nature, and guidance for righteous living.
  • E. Boambee
    Boambee is a coastal locality in New South Wales, Australia, situated near the town of Sawtell and known for its residential areas and natural surroundings.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092e3230819098ab444f73c9bd40 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89ff1cd948190a1ef331fb810bf26 completed April 10, 2026, 7 a.m.
NEDg Description generation batch_69d8a2b0d8c88190a1a64bd2bbacabbe completed April 10, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69d8a6560ddc81909d540f78a9413b3e completed April 10, 2026, 7:27 a.m.
Created at: April 6, 2026, 12:20 p.m.