Triple

T16697973
Position Surface form Disambiguated ID Type / Status
Subject The Big Gusher E405765 entity
Predicate director P255 FINISHED
Object Lew Landers E1223663 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: Lew Landers | Statement: [The Big Gusher, director, Lew Landers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lew Landers
Context triple: [The Big Gusher, director, Lew Landers]
  • A. Lew Landers chosen
    Lew Landers was a prolific American film and television director best known for his work on low-budget B-movies from the 1930s through the 1960s.
  • B. Bob Landers
    Bob Landers is a fictional character from the American television sitcom "The Debbie Reynolds Show."
  • C. Lester Orlebeck
    Lester Orlebeck was an American film editor and occasional director known for his work on numerous Hollywood features, including classic family films of the mid-20th century.
  • D. Ed Leland
    Ed Leland is a fictional American intelligence officer and love interest who works undercover in Nazi Germany in the World War II espionage drama film "Shining Through" (1992).
  • E. Lester Melroe
    Lester Melroe was an American inventor and entrepreneur best known for developing the compact skid-steer loader that led to the creation of the Bobcat brand.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3832f550c8190bf7514d4611dec6a completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a51378788190b9f3bb0a344dcdd8 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:19 a.m.