Triple

T5091591
Position Surface form Disambiguated ID Type / Status
Subject Ren E114762 entity
Predicate survivesEvent P5939 FINISHED
Object Waterless Flood E492538 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: Waterless Flood | Statement: [Ren, survivesEvent, Waterless Flood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterless Flood
Context triple: [Ren, survivesEvent, Waterless Flood]
  • A. Waterless Flood chosen
    The Waterless Flood is a catastrophic, bioengineered pandemic in Margaret Atwood’s MaddAddam trilogy that wipes out most of humanity without involving an actual deluge.
  • B. Flood
    Flood is a renowned British record producer and audio engineer known for his work with influential rock and alternative artists such as U2, Depeche Mode, and Nine Inch Nails.
  • C. Flood
    Flood is a common English surname of Germanic origin, often associated with families from regions prone to flooding or near bodies of water.
  • D. Flood
    Flood is a landmark 1963 abstract expressionist painting by Helen Frankenthaler, celebrated for its lyrical color field technique and innovative use of thinned paint poured directly onto unprimed canvas.
  • E. Flood
    "Flood" is a science fiction novel by Stephen Baxter that explores a near-future Earth devastated by a mysterious, relentless rise in global sea levels.
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7541b2bc8190b58c2a23733b7825 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba72a7b88190a118ff5f31079eff completed March 21, 2026, 3:34 p.m.
Created at: March 20, 2026, 1:40 p.m.