Triple

T15487428
Position Surface form Disambiguated ID Type / Status
Subject Mani Bahen E377082 entity
Predicate hasHonorific P2097 FINISHED
Object Bahen
Bahen is an honorific title used in parts of South Asia to respectfully address a woman, roughly equivalent to “sister.”
 E1160756 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: Bahen | Statement: [Mani Bahen, hasHonorific, Bahen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bahen
Context triple: [Mani Bahen, hasHonorific, Bahen]
  • A. Natanson
    Natanson is a surname most notably associated with Mark Natanson, a prominent Russian revolutionary and political activist of the late 19th and early 20th centuries.
  • B. Balkhausen
    Balkhausen is a district within the town of Kerpen in North Rhine-Westphalia, Germany.
  • C. Parnas
    Parnas is a metro station in Saint Petersburg, Russia, serving as the northern terminus of one of the city’s subway lines.
  • D. Behaim
    Behaim is a German surname most notably associated with Martin Behaim, a 15th-century cartographer credited with creating one of the earliest surviving terrestrial globes.
  • E. Badiot
    Badiot is a regional variety of the Ladin language spoken in parts of the Dolomite region of northern Italy.
  • 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: Bahen
Triple: [Mani Bahen, hasHonorific, Bahen]
Generated description
Bahen is an honorific title used in parts of South Asia to respectfully address a woman, roughly equivalent to “sister.”
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bahen
Target entity description: Bahen is an honorific title used in parts of South Asia to respectfully address a woman, roughly equivalent to “sister.”
  • A. Natanson
    Natanson is a surname most notably associated with Mark Natanson, a prominent Russian revolutionary and political activist of the late 19th and early 20th centuries.
  • B. Balkhausen
    Balkhausen is a district within the town of Kerpen in North Rhine-Westphalia, Germany.
  • C. Parnas
    Parnas is a metro station in Saint Petersburg, Russia, serving as the northern terminus of one of the city’s subway lines.
  • D. Behaim
    Behaim is a German surname most notably associated with Martin Behaim, a 15th-century cartographer credited with creating one of the earliest surviving terrestrial globes.
  • E. Badiot
    Badiot is a regional variety of the Ladin language spoken in parts of the Dolomite region of northern Italy.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8f71a08190a440ff19dcc65312 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff365b3980819094d3ca0b7766009c completed May 9, 2026, 1:27 p.m.
NEDg Description generation batch_69ff376dac388190ab3b7e3553d2de29 completed May 9, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69ff382f1bbc8190810d0d825430f9ea completed May 9, 2026, 1:35 p.m.
Created at: April 10, 2026, 3:48 a.m.