Triple

T1384404
Position Surface form Disambiguated ID Type / Status
Subject Moses Malone E29811 entity
Predicate familyName P18 FINISHED
Object Malone
Malone is a common English-language surname borne by numerous notable individuals across sports, entertainment, and public life.
 E157720 NE FINISHED

How this triple was built (4 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: [Moses Malone, familyName, Malone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Malone
Context triple: [Moses Malone, familyName, Malone]
  • A. Dayman
    Dayman is a fictional heroic persona from "It's Always Sunny in Philadelphia," featured in the show's satirical musical storyline.
  • B. 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.
  • C. Handsome Dan
    Handsome Dan is the live bulldog mascot and enduring symbol of Yale University's athletic teams and school spirit.
  • D. Jock
    Jock is a diminutive form of the given name John, traditionally used in Scotland.
  • E. Mulally
    Mulally is the surname of Alan Mulally, the American engineer and former CEO known for leading major turnarounds at Boeing and Ford Motor Company.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Malone
Triple: [Moses Malone, familyName, Malone]
Generated description
Malone is a common English-language surname borne by numerous notable individuals across sports, entertainment, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Malone
Target entity description: Malone is a common English-language surname borne by numerous notable individuals across sports, entertainment, and public life.
  • A. Dayman
    Dayman is a fictional heroic persona from "It's Always Sunny in Philadelphia," featured in the show's satirical musical storyline.
  • B. 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.
  • C. Handsome Dan
    Handsome Dan is the live bulldog mascot and enduring symbol of Yale University's athletic teams and school spirit.
  • D. Jock
    Jock is a diminutive form of the given name John, traditionally used in Scotland.
  • E. Mulally
    Mulally is the surname of Alan Mulally, the American engineer and former CEO known for leading major turnarounds at Boeing and Ford Motor Company.
  • F. None of above. chosen

Provenance (5 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_69a498dc92f8819094a1108f8ac90f43 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c33896548190b44f70c9aaaed9b6 completed March 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69acd48e046c8190bc4820d6c4ce907d completed March 8, 2026, 1:44 a.m.
NEDg Description generation batch_69acd57bf87c8190ad22de7b5636fcfc completed March 8, 2026, 1:48 a.m.
NED2 Entity disambiguation (via description) batch_69acd5e54e98819084ba0022ca64ff43 completed March 8, 2026, 1:50 a.m.
Created at: March 1, 2026, 7:59 p.m.