Triple

T6787158
Position Surface form Disambiguated ID Type / Status
Subject Jeff Renfroe E155837 entity
Predicate directed P7373 FINISHED
Object Sand Serpents E619358 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: Sand Serpents | Statement: [Jeff Renfroe, directed, Sand Serpents]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sand Serpents
Context triple: [Jeff Renfroe, directed, Sand Serpents]
  • A. Sand Serpents chosen
    Sand Serpents is a made-for-television science fiction horror film featuring giant subterranean creatures that terrorize a group of soldiers in a desert setting.
  • B. World Serpent
    The World Serpent is a colossal sea serpent from Norse mythology that encircles the earth and is fated to battle Thor during Ragnarök.
  • C. The Scorpion
    "The Scorpion" is a dramatic musical track from Jerry Goldsmith's score for the 2002 science fiction film Star Trek: Nemesis.
  • D. Sea of Sand
    The Sea of Sand is a vast, otherworldly volcanic sand plain surrounding Mount Bromo in East Java, Indonesia, renowned for its stark, lunar-like landscape.
  • E. An Nafud
    An Nafud is a vast sand desert in northern Saudi Arabia known for its red dunes and harsh, arid climate.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2907d0081908291aad66048b8b1 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723cc35cc8190b5affdfd363171ba completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:14 p.m.