Triple

T6930232
Position Surface form Disambiguated ID Type / Status
Subject Susanne Langer E160412 entity
Predicate spouse P13 FINISHED
Object William Langer E248846 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: William Langer | Statement: [Susanne Langer, spouse, William Langer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Langer
Context triple: [Susanne Langer, spouse, William Langer]
  • A. William Langer
    William Langer was a prominent American politician who served as both governor of North Dakota and a U.S. senator in the mid-20th century.
  • B. William L. Langer chosen
    William L. Langer was a prominent American diplomatic historian and intelligence analyst who played a key role in shaping U.S. strategic research and analysis during World War II.
  • C. Clarence S. Luce
    Clarence S. Luce was an American architect known for his late 19th-century residential designs in New York City, including the distinguished townhouses of Strivers’ Row in Harlem.
  • D. Ward Bond
    Ward Bond was an American character actor best known for his prolific work in classic Hollywood films and the television series "Wagon Train."
  • E. Stirling Silliphant
    Stirling Silliphant was an American screenwriter best known for his prolific work in film and television, including the Oscar-winning screenplay for "In the Heat of the Night."
  • 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_69c6884e15208190b9e91487eaafcf85 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da1f5fcc8190b43f53f90fc1821c completed March 27, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7514774d88190af212d7953014703 completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:27 p.m.