Triple

T1441880
Position Surface form Disambiguated ID Type / Status
Subject Maymunah bint al-Harith E31091 entity
Predicate placeOfMarriage P128 FINISHED
Object Sarif
Sarif is a locality near Mecca in present-day Saudi Arabia, historically noted as the site of Maymunah bint al-Harith’s marriage to the Prophet Muhammad.
 E165343 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: Sarif | Statement: [Maymunah bint al-Harith, placeOfMarriage, Sarif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sarif
Context triple: [Maymunah bint al-Harith, placeOfMarriage, Sarif]
  • A. Sifra
    Sifra is a classical rabbinic midrash on the Book of Leviticus that systematically expounds its legal (halakhic) passages.
  • B. Shifnal
    Shifnal is a small market town in Shropshire, England, known for its historic buildings and proximity to Telford.
  • C. Schalk
    Schalk is a masculine given name of Afrikaans and Dutch origin, commonly used in South Africa.
  • D. Vivanco
    Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
  • E. Sark
    Sark is a small, car-free island in the English Channel known for its rugged coastline, traditional feudal-style governance history, and designation as a Dark Sky Island.
  • 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: Sarif
Triple: [Maymunah bint al-Harith, placeOfMarriage, Sarif]
Generated description
Sarif is a locality near Mecca in present-day Saudi Arabia, historically noted as the site of Maymunah bint al-Harith’s marriage to the Prophet Muhammad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sarif
Target entity description: Sarif is a locality near Mecca in present-day Saudi Arabia, historically noted as the site of Maymunah bint al-Harith’s marriage to the Prophet Muhammad.
  • A. Sifra
    Sifra is a classical rabbinic midrash on the Book of Leviticus that systematically expounds its legal (halakhic) passages.
  • B. Shifnal
    Shifnal is a small market town in Shropshire, England, known for its historic buildings and proximity to Telford.
  • C. Schalk
    Schalk is a masculine given name of Afrikaans and Dutch origin, commonly used in South Africa.
  • D. Vivanco
    Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
  • E. Sark
    Sark is a small, car-free island in the English Channel known for its rugged coastline, traditional feudal-style governance history, and designation as a Dark Sky Island.
  • 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_69a4991633388190a4d61b5a98aa407a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c5320728819095d9ed2439fa7d31 completed March 1, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08bc290c8190902f47f718bd4f98 completed March 8, 2026, 5:27 a.m.
NEDg Description generation batch_69ad09823ce481908b5db3ee9ebd1a88 completed March 8, 2026, 5:30 a.m.
NED2 Entity disambiguation (via description) batch_69ad0a8f17888190913c06641a6ac060 completed March 8, 2026, 5:35 a.m.
Created at: March 1, 2026, 8 p.m.