Triple

T8500746
Position Surface form Disambiguated ID Type / Status
Subject Lew Wasserman E201207 entity
Predicate hasAlias P455 FINISHED
Object Lewis Wasserman E201207 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: Lewis Wasserman | Statement: [Lew Wasserman, hasAlias, Lewis Wasserman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lewis Wasserman
Context triple: [Lew Wasserman, hasAlias, Lewis Wasserman]
  • A. Lew Wasserman chosen
    Lew Wasserman was a powerful American talent agent and studio executive who led MCA and Universal, shaping much of Hollywood’s modern business structure and star system.
  • B. Philip Eisner
    Philip Eisner is an American screenwriter best known for writing the science fiction horror film "Event Horizon."
  • C. Sam Spiegel
    Sam Spiegel was an acclaimed Austrian-American film producer known for epic classics such as "Lawrence of Arabia," "The Bridge on the River Kwai," and "On the Waterfront."
  • D. Sidney Sheinberg
    Sidney Sheinberg was an influential American entertainment executive best known for his long tenure as president and COO of MCA/Universal Studios and for helping launch the career of director Steven Spielberg.
  • E. Jesse L. Lasky Jr.
    Jesse L. Lasky Jr. was an American screenwriter known for his work on major Hollywood epics and adventure films in the mid-20th century.
  • 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_69ca831fe47c8190b5c57b456d2aefa0 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5996ce88190956cb3f8d9ad3daf completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d1c2ce4819082c92484d3865edf completed April 2, 2026, 1:20 p.m.
Created at: March 30, 2026, 6:14 p.m.