Triple

T21592520
Position Surface form Disambiguated ID Type / Status
Subject Leviathan E532814 entity
Predicate parallels P1868 FINISHED
Object Ugaritic sea monster Lotan NE NERFINISHED

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: Ugaritic sea monster Lotan | Statement: [Leviathan, parallels, Ugaritic sea monster Lotan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ugaritic sea monster Lotan
Context triple: [Leviathan, parallels, Ugaritic sea monster Lotan]
  • A. The Sea God
    The Sea God is a 1930s American adventure film featuring underwater exploits and romantic drama, starring Richard Arlen.
  • B. Gorg
    Gorg is a neighborhood and metro/tram station area in Badalona, near Barcelona, known for its role as a local transport hub and residential district.
  • C. Al-Hai
    Al-Hai is a town in eastern Iraq located within Wasit Governorate, known primarily as a local administrative and market center for the surrounding rural area.
  • D. Dagon chosen
    Dagon is an ancient Semitic deity, often associated with grain, fertility, and sometimes the sea, worshipped across regions including Phoenicia and Mesopotamia.
  • E. Dagon
    Dagon is a monstrous, ancient sea deity from H. P. Lovecraft’s Cthulhu Mythos, often associated with deep-sea cults and hybrid human-fish worshippers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefadeb56c8190bce79efadf3c644d completed April 27, 2026, 5:57 a.m.
Created at: April 16, 2026, 6:32 p.m.