Triple

T14668579
Position Surface form Disambiguated ID Type / Status
Subject Gamal Nkrumah E344445 entity
Predicate employer P7 FINISHED
Object Al-Ahram E541248 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: Al-Ahram | Statement: [Gamal Nkrumah, employer, Al-Ahram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al-Ahram
Context triple: [Gamal Nkrumah, employer, Al-Ahram]
  • A. Al-Ahram newspaper chosen
    Al-Ahram newspaper is one of Egypt’s oldest and most influential daily newspapers, widely regarded as a leading voice in the Arab media landscape.
  • B. Al-Sharq al-Awsat
    Al-Sharq al-Awsat is a prominent London-based pan-Arab daily newspaper known for its wide circulation and influence across the Arab world.
  • C. Egyptian press
    The Egyptian press is the national print and media industry of Egypt, long influential across the Arab world for shaping public opinion, culture, and political discourse.
  • D. al-Baath newspaper
    Al-Baath newspaper is the official mouthpiece of Syria’s Ba'ath Party, serving as a key platform for the party’s political ideology and state-aligned news.
  • E. Vakit newspaper
    Vakit newspaper was a Turkish periodical known for publishing notable literary works and contributing to early 20th-century Turkish press and culture.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb54dda1c8190bf16d17e26a2bba6 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5e9bb2081908515ab6430e9b1c2 completed May 8, 2026, 12:24 p.m.
Created at: April 10, 2026, 1:27 a.m.