Triple

T23337285
Position Surface form Disambiguated ID Type / Status
Subject ProphetDawud E591630 entity
Predicate predecessorAsKing P136744 FINISHED
Object Talut
Talut is a figure in Islamic tradition, often equated with the biblical Saul, who served as the first king of the Israelites before Prophet Dawud (David).
E1579974 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: Talut | Statement: [ProphetDawud, predecessorAsKing, Talut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talut
Context triple: [ProphetDawud, predecessorAsKing, Talut]
  • A. Samil
    Samil is a civil parish located within the municipality of Bragança in northeastern Portugal.
  • B. The Ton
    The Ton is the traditional nickname of Scottish football club Greenock Morton F.C., reflecting its long-standing identity and fan culture.
  • C. Eichet
    Eichet is a locality that forms part of the municipality of Grödig in the Austrian state of Salzburg.
  • D. Talat
    Talat is a surname most notably associated with Mehmed Talat Pasha, an Ottoman statesman and one of the principal leaders of the late Ottoman Empire.
  • E. Karosta
    Karosta is a historic former military port district in the Latvian city of Liepāja, known for its Tsarist-era fortifications, Soviet naval heritage, and distinctive coastal landscape.
  • 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: Talut
Triple: [ProphetDawud, predecessorAsKing, Talut]
Generated description
Talut is a figure in Islamic tradition, often equated with the biblical Saul, who served as the first king of the Israelites before Prophet Dawud (David).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Talut
Target entity description: Talut is a figure in Islamic tradition, often equated with the biblical Saul, who served as the first king of the Israelites before Prophet Dawud (David).
  • A. Samil
    Samil is a civil parish located within the municipality of Bragança in northeastern Portugal.
  • B. The Ton
    The Ton is the traditional nickname of Scottish football club Greenock Morton F.C., reflecting its long-standing identity and fan culture.
  • C. Eichet
    Eichet is a locality that forms part of the municipality of Grödig in the Austrian state of Salzburg.
  • D. Talat
    Talat is a surname most notably associated with Mehmed Talat Pasha, an Ottoman statesman and one of the principal leaders of the late Ottoman Empire.
  • E. Karosta
    Karosta is a historic former military port district in the Latvian city of Liepāja, known for its Tsarist-era fortifications, Soviet naval heritage, and distinctive coastal landscape.
  • 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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1982f8574819090f8b0ba249237a3 completed April 29, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c4cb282d081908ed8fa395460d7db completed May 19, 2026, 11:42 a.m.
NEDg Description generation batch_6a0c4f634a70819088f627f13bdfe7da completed May 19, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4fc72a9c8190862256fac24682a1 completed May 19, 2026, 11:55 a.m.
Created at: April 17, 2026, 5:17 p.m.