Triple

T7666136
Position Surface form Disambiguated ID Type / Status
Subject Dragon Book E173627 entity
Predicate hasNickname P39 FINISHED
Object Dragon Book E173627 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: Dragon Book | Statement: [Dragon Book, hasNickname, Dragon Book]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dragon Book
Context triple: [Dragon Book, hasNickname, Dragon Book]
  • A. Dragon Book chosen
    The "Dragon Book" is a classic, widely used textbook on compiler design and implementation, authored by Aho, Lam, Sethi, and Ullman.
  • B. Codex Hammer
    Codex Hammer is a famous scientific notebook by Leonardo da Vinci, renowned for its detailed studies of astronomy, geology, and the properties of water.
  • C. Spellmonger
    Spellmonger is a long-running epic fantasy novel series by Terry Mancour that follows the rise of a battle-weary mage in a richly detailed, war-torn world.
  • D. Book of Knowledge
    The Book of Knowledge is the opening section of Maimonides’ Mishneh Torah, systematically presenting the foundational principles of Jewish belief and law.
  • E. Pogue’s Basics series
    Pogue’s Basics series is a collection of practical, tip-filled books by technology writer David Pogue that reveal simple shortcuts and hidden features for everyday tech and life tasks.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701c1383c8190ab5bf803bd6211a9 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b1fdccc8190a69b4745dc3b2347 completed March 29, 2026, 3:23 a.m.
Created at: March 27, 2026, 4 p.m.