Triple

T34967611
Position Surface form Disambiguated ID Type / Status
Subject Get Low E1008444 entity
Predicate characterPlayedByBillMurray P200325 FINISHED
Object Frank Quinn
Frank Quinn is a smooth-talking, financially struggling funeral home owner who partners with Felix Bush to stage the living funeral at the center of the film "Get Low."
 E2119894 NE FINISHED

How this triple was built (3 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: Frank Quinn | Statement: [Get Low, characterPlayedByBillMurray, Frank Quinn]
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: Frank Quinn
Triple: [Get Low, characterPlayedByBillMurray, Frank Quinn]
Generated description
Frank Quinn is a smooth-talking, financially struggling funeral home owner who partners with Felix Bush to stage the living funeral at the center of the film "Get Low."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: characterPlayedByBillMurray
Context triple: [Get Low, characterPlayedByBillMurray, Frank Quinn]
  • A. characterVoicedBy Ray Romano
    Indicates that the character is voiced by Ray Romano.
  • B. AlbertBrooksRole
    Indicates that an entity represents a role or character played by Albert Brooks in a work.
  • C. characterVoicedBy Ed Asner
    Indicates that the character is voiced by Ed Asner.
  • D. characterPlayedBy Bob Monkhouse
    Indicates that a character is portrayed or acted by Bob Monkhouse.
  • E. characterPlayedByDeanJones
    Indicates that a given character is portrayed or acted by Dean Jones.
  • F. None of above. chosen

Provenance (7 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_69f76dc78a308190a1ac29ad4a9a4895 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff80d9a1d88190a95b1488acd6e2e5 completed May 9, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37b26eb49081908a7610f03ca6b975 completed June 21, 2026, 9:44 a.m.
NEDg Description generation batch_6a37b348c6d88190ad65c70fcb965538 completed June 21, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_6a37b41c5968819082c2da527dea016e completed June 21, 2026, 9:51 a.m.
PD Predicate disambiguation batch_69ff802ae2dc819093a3cda42b63dcbd completed May 9, 2026, 6:42 p.m.
PDg Predicate description generation batch_69ff80d8ff208190b9e95d077fd99f78 completed May 9, 2026, 6:45 p.m.
Created at: May 3, 2026, 4 p.m.