Triple

T20128936
Position Surface form Disambiguated ID Type / Status
Subject Joseph L. Mailman E490835 entity
Predicate knownAs P39 FINISHED
Object Joseph L. Mailman 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: Joseph L. Mailman | Statement: [Joseph L. Mailman, knownAs, Joseph L. Mailman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph L. Mailman
Context triple: [Joseph L. Mailman, knownAs, Joseph L. Mailman]
  • A. Joseph L. Mailman chosen
    Joseph L. Mailman was a prominent American businessman and philanthropist whose major contributions to public health led Columbia University to name its School of Public Health in his honor.
  • B. Frank E. Seidman
    Frank E. Seidman was an influential figure in the field of political economy, honored by a distinguished award that bears his name.
  • C. Louis D. Rubin Jr.
    Louis D. Rubin Jr. was an influential American literary critic, scholar, and publisher best known for his pioneering work on Southern literature and for co-founding Algonquin Books.
  • D. Milton S. Cohen
    Milton S. Cohen was the husband of American character actress Eleanor Audley, known for her distinctive voice roles in classic Disney films.
  • E. Edward S. Feldman
    Edward S. Feldman is an American film producer known for overseeing a range of notable movies across several decades, including acclaimed dramas and thrillers.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66760b8f08190a66fbb2e9e3925a3 completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:31 p.m.