Triple

T5174558
Position Surface form Disambiguated ID Type / Status
Subject Nate E116764 entity
Predicate fictionalUniverse P3758 FINISHED
Object Life Before Man universe E19702 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: Life Before Man universe | Statement: [Nate, fictionalUniverse, Life Before Man universe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Life Before Man universe
Context triple: [Nate, fictionalUniverse, Life Before Man universe]
  • A. Life Before Man chosen
    Life Before Man is a 1979 novel by Canadian author Margaret Atwood that explores complex relationships, identity, and emotional disconnection within a troubled love triangle.
  • B. Humankind
    Humankind is an American hardcore punk band known for its aggressive sound and socially conscious lyrics.
  • C. Pirmasens
    Pirmasens is a town in southwestern Germany, in the state of Rhineland-Palatinate, historically known for its shoe manufacturing industry.
  • D. Parallel Earth
    Parallel Earth is an alternate version of our planet in the Doctor Who universe, distinguished by advanced but dangerous cybernetic technology and the rise of the Cybermen.
  • E. Mahaprithibi
    Mahaprithibi is a celebrated Bengali poetry collection by Jibanananda Das that reflects his modernist style and introspective, evocative imagery.
  • 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_69bd445ff97c81909a2615cc56235470 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7971284481909e6d07b2368a4f76 completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed94a6ed08190b035afa20123c737 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:45 p.m.