Triple

T11003520
Position Surface form Disambiguated ID Type / Status
Subject Show and Tell: A Neural Image Caption Generator E260056 entity
Predicate author P4 FINISHED
Object Alexander Toshev E108001 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: Alexander Toshev | Statement: [Show and Tell: A Neural Image Caption Generator, author, Alexander Toshev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexander Toshev
Context triple: [Show and Tell: A Neural Image Caption Generator, author, Alexander Toshev]
  • A. Alexander Toshev chosen
    Alexander Toshev is a computer scientist known for his contributions to computer vision and deep learning, including influential work on object detection.
  • B. Asen Zlatarov
    Asen Zlatarov was a prominent Bulgarian chemist, writer, and public figure known for his contributions to science, literature, and education in Bulgaria.
  • C. Boris Slavov
    Boris Slavov is a video game music composer best known for his cinematic scores on major titles such as the Crysis series and Divinity: Original Sin 2.
  • D. Todor Popov
    Todor Popov is a Bulgarian politician who serves as the long-time mayor of the city of Pazardzhik.
  • E. Vasil Terziev
    Vasil Terziev is a Bulgarian entrepreneur and politician who serves as the mayor of Sofia.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797546f448190946ee6442d657dc5 completed April 9, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3453d181081908cb58a957f4d1295 completed April 18, 2026, 8:47 a.m.
Created at: April 8, 2026, 9:25 p.m.