Triple

T12513031
Position Surface form Disambiguated ID Type / Status
Subject Bob Balaban E299127 entity
Predicate familyName P18 FINISHED
Object Balaban
Balaban is a surname most notably associated with American actor and filmmaker Bob Balaban.
E987897 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: Balaban | Statement: [Bob Balaban, familyName, Balaban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balaban
Context triple: [Bob Balaban, familyName, Balaban]
  • A. Balya
    Balya is a small town and district in western Turkey known historically for its mining activities and rural character.
  • B. Ballana
    Ballana is an important archaeological site in Lower Nubia known for its rich group of royal tumulus graves from the post-Meroitic period.
  • C. Bazarduzu
    Bazarduzu is the highest mountain in Azerbaijan, located in the Greater Caucasus range on the border with Russia.
  • D. Basarke
    Basarke is a village in the Amritsar district of Punjab, India, historically significant as the birthplace of the third Sikh Guru, Guru Amar Das.
  • E. Balka
    Balka is a coastal village and beach area on the Danish island of Bornholm, known for its shallow, child-friendly sandy shoreline and holiday atmosphere.
  • 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: Balaban
Triple: [Bob Balaban, familyName, Balaban]
Generated description
Balaban is a surname most notably associated with American actor and filmmaker Bob Balaban.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Balaban
Target entity description: Balaban is a surname most notably associated with American actor and filmmaker Bob Balaban.
  • A. Balya
    Balya is a small town and district in western Turkey known historically for its mining activities and rural character.
  • B. Ballana
    Ballana is an important archaeological site in Lower Nubia known for its rich group of royal tumulus graves from the post-Meroitic period.
  • C. Bazarduzu
    Bazarduzu is the highest mountain in Azerbaijan, located in the Greater Caucasus range on the border with Russia.
  • D. Basarke
    Basarke is a village in the Amritsar district of Punjab, India, historically significant as the birthplace of the third Sikh Guru, Guru Amar Das.
  • E. Balka
    Balka is a coastal village and beach area on the Danish island of Bornholm, known for its shallow, child-friendly sandy shoreline and holiday atmosphere.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541e752c8190bf12d2b5a37b53df completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bbba5fc819082a4171a5a77183a completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64d15a97c81909046190f0d0fd986 completed May 2, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69f64e6d311c8190b851b89e394165d0 completed May 2, 2026, 7:20 p.m.
Created at: April 8, 2026, 9:57 p.m.