Triple

T19995411
Position Surface form Disambiguated ID Type / Status
Subject Grizabella E494179 entity
Predicate notableSong P4 FINISHED
Object Memory 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: Memory | Statement: [Grizabella, notableSong, Memory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Memory
Context triple: [Grizabella, notableSong, Memory]
  • A. Memory chosen
    "Memory" is the iconic, emotionally charged ballad from the musical Cats, renowned for its powerful vocals and themes of nostalgia and longing.
  • B. Memory
    "Memory" is a symbolist painting by American artist Elihu Vedder, known for its evocative, allegorical depiction of remembrance and loss.
  • C. Memory
    "Memory" is a science fiction novel in Lois McMaster Bujold’s Vorkosigan Saga, focusing on Miles Vorkosigan’s personal and professional crisis after a debilitating medical incident.
  • D. memory
    Memory is the cognitive faculty by which the brain encodes, stores, and retrieves information and past experiences.
  • E. Memory Effects
    Memory Effects is a work—likely in literature or theory—examining how memory, its distortions, and its traces shape perception, identity, and narrative.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe3fb288190a935c334e8a5d54e completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:31 p.m.