Triple

T4993332
Position Surface form Disambiguated ID Type / Status
Subject Abdullah II of Jordan E112184 entity
Predicate givenName P17 FINISHED
Object Abdullah E112184 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: Abdullah | Statement: [Abdullah II of Jordan, givenName, Abdullah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abdullah
Context triple: [Abdullah II of Jordan, givenName, Abdullah]
  • A. Abdullah chosen
    Abdullah is a common Arabic male given name, notably borne by King Abdullah II of Jordan.
  • B. Abdullah bin al-Husayn
    Abdullah bin al-Husayn, better known as Abdullah I of Jordan, was the founding monarch of the Hashemite Kingdom of Jordan who ruled from its establishment in the mid-20th century until his assassination in 1951.
  • C. Ali Zayn al-Abidin
    Ali Zayn al-Abidin was the fourth Shia Imam, revered for his piety, scholarship, and foundational role in shaping early Shia theology and jurisprudence.
  • D. Walid
    Walid is a masculine given name of Arabic origin commonly used across the Middle East and North Africa.
  • E. Ali Abdul
    Ali Abdul is a beloved supporting character in the Netflix series "Squid Game," portrayed as a kind-hearted Pakistani migrant worker who participates in the deadly competition.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd4432b32c81909f3b3c6bd10f0653 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd729d3d448190a414a003a75104f6 completed March 20, 2026, 4:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c54ff088190b1be52c080ebb02d completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:34 p.m.