Triple

T3159280
Position Surface form Disambiguated ID Type / Status
Subject Persian E66064 entity
Predicate notablePoets P10575 FINISHED
Object Ferdowsi E23346 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: Ferdowsi | Statement: [Persian, notablePoets, Ferdowsi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ferdowsi
Context triple: [Persian, notablePoets, Ferdowsi]
  • A. Ferdowsi chosen
    Ferdowsi was a renowned 10th–11th century Persian poet best known for composing the epic Shahnameh, a cornerstone of Persian literature and cultural identity.
  • B. Nizami Ganjavi
    Nizami Ganjavi was a 12th-century Persian poet renowned for his romantic epic masterpieces, especially the Khamsa (Quintet), which profoundly influenced Persian and wider Islamic literature.
  • C. Hafez
    Hafez was a 14th-century Persian lyric poet renowned for his ghazals, which explore themes of love, mysticism, and the divine, and remain central to Persian literature and culture.
  • D. Saadi
    Saadi was a renowned 13th-century Persian poet and prose writer best known for his moralistic and philosophical works such as "Bustan" and "Gulistan."
  • E. Arash Ferdowsi
    Arash Ferdowsi is an American entrepreneur and computer scientist best known as the co-founder and former CTO of the cloud storage company Dropbox.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5ed82a08190a1bdcf18ee593c79 completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2250a682c8190b01e949f27d6932e completed March 12, 2026, 2:29 a.m.
Created at: March 8, 2026, 3:05 p.m.