Triple

T5203225
Position Surface form Disambiguated ID Type / Status
Subject Malone Dies E117443 entity
Predicate hasCharacter P2308 FINISHED
Object Malone E157720 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: Malone | Statement: [Malone Dies, hasCharacter, Malone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malone
Context triple: [Malone Dies, hasCharacter, Malone]
  • A. Malone chosen
    Malone is a common English-language surname borne by numerous notable individuals across sports, entertainment, and public life.
  • B. Dayman
    Dayman is a fictional heroic persona from "It's Always Sunny in Philadelphia," featured in the show's satirical musical storyline.
  • C. Malone Dies
    Malone Dies is a 1951 novel by Samuel Beckett, known as a bleakly comic, introspective work that forms the second part of his famous trilogy exploring identity, consciousness, and decay.
  • D. Tom Malone
    Tom Malone is an American trombonist and multi-instrumentalist best known for his work with The Blues Brothers Band and as a longtime member of the Saturday Night Live Band.
  • E. Rudy
    Rudy is a 1993 American sports drama film about an underdog's determined quest to play football for the University of Notre Dame.
  • 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_69bd4463dd3c81909966123f20b79d57 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a46393c81908da08f4fbfb6147d completed March 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef7fcae508190bffd21937488d674 completed March 21, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:47 p.m.