Triple

T3402151
Position Surface form Disambiguated ID Type / Status
Subject Moropant Tambe E71679 entity
Predicate familyName P18 FINISHED
Object Tambe
Tambe is an Indian surname, notably borne by figures such as Moropant Tambe, associated with the Maratha and broader Maharashtrian communities.
 E356062 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: Tambe | Statement: [Moropant Tambe, familyName, Tambe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tambe
Context triple: [Moropant Tambe, familyName, Tambe]
  • A. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • B. Shimamoto
    Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
  • C. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • D. Miyazu
    Miyazu is a coastal city in northern Kyoto Prefecture, Japan, best known as the gateway to the scenic sandbar Amanohashidate, one of Japan’s traditional “Three Views.”
  • E. Shimaore
    Shimaore is a Bantu language closely related to Comorian, widely spoken by the local population of Mayotte in the Indian Ocean.
  • 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: Tambe
Triple: [Moropant Tambe, familyName, Tambe]
Generated description
Tambe is an Indian surname, notably borne by figures such as Moropant Tambe, associated with the Maratha and broader Maharashtrian communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tambe
Target entity description: Tambe is an Indian surname, notably borne by figures such as Moropant Tambe, associated with the Maratha and broader Maharashtrian communities.
  • A. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • B. Shimamoto
    Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
  • C. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • D. Miyazu
    Miyazu is a coastal city in northern Kyoto Prefecture, Japan, best known as the gateway to the scenic sandbar Amanohashidate, one of Japan’s traditional “Three Views.”
  • E. Shimaore
    Shimaore is a Bantu language closely related to Comorian, widely spoken by the local population of Mayotte in the Indian Ocean.
  • 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_69ad85aac4808190a092c9cc8911f584 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8c96d7c8190a1f9d035996f79e3 completed March 8, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bd4d02881909c365e054148ae8c completed March 12, 2026, 11:27 p.m.
NEDg Description generation batch_69b34e4792608190b74e02e065d4bc68 completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b3525f44948190af72b177193edca4 completed March 12, 2026, 11:55 p.m.
Created at: March 8, 2026, 3:14 p.m.