Triple

T30659344
Position Surface form Disambiguated ID Type / Status
Subject Shahnawaz Bhutto E780480 entity
Predicate spouse P13 FINISHED
Object Rehana Bhutto
Rehana Bhutto is known as the widow of Shahnawaz Bhutto, a son of former Pakistani Prime Minister Zulfikar Ali Bhutto and member of the prominent Bhutto political family.
E1939539 NE FINISHED

How this triple was built (2 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: Rehana Bhutto | Statement: [Shahnawaz Bhutto, spouse, Rehana Bhutto]
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: Rehana Bhutto
Triple: [Shahnawaz Bhutto, spouse, Rehana Bhutto]
Generated description
Rehana Bhutto is known as the widow of Shahnawaz Bhutto, a son of former Pakistani Prime Minister Zulfikar Ali Bhutto and member of the prominent Bhutto political family.

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_69f224a6d10481909290be1a00fc83b3 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f68adff158819082aab1a8e4e30ccd completed May 2, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28fb939ba88190af2ca6df307730fb completed June 10, 2026, 5:52 a.m.
NEDg Description generation batch_6a28fc011f448190ac4bef3558ad6126 completed June 10, 2026, 5:54 a.m.
NED2 Entity disambiguation (via description) batch_6a28fc6734208190a763bb3e3825deb6 completed June 10, 2026, 5:55 a.m.
Created at: April 29, 2026, 8:31 p.m.