Triple

T25176025
Position Surface form Disambiguated ID Type / Status
Subject Daisy Gamble E630448 entity
Predicate hasPastLifeMemories P145824 FINISHED
Object Melinda Tentrees
Melinda Tentrees is the 19th-century Englishwoman whose past life is recalled by the protagonist Daisy Gamble in the musical film "On a Clear Day You Can See Forever."
 E1665846 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: Melinda Tentrees | Statement: [Daisy Gamble, hasPastLifeMemories, Melinda Tentrees]
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: Melinda Tentrees
Triple: [Daisy Gamble, hasPastLifeMemories, Melinda Tentrees]
Generated description
Melinda Tentrees is the 19th-century Englishwoman whose past life is recalled by the protagonist Daisy Gamble in the musical film "On a Clear Day You Can See Forever."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasPastLifeMemories
Context triple: [Daisy Gamble, hasPastLifeMemories, Melinda Tentrees]
  • A. retainsMemoriesOf chosen
    Indicates that one entity continues to hold or preserve memories about another entity or about events involving that entity.
  • B. hasMysteriousPast
    Indicates that an entity possesses a past that is unknown, hidden, or only partially revealed, often implying secrets or unexplained events.
  • C. hasArtificialMemories
    Indicates that an entity possesses memories that were created or implanted through artificial or non-natural means.
  • D. hasMemorableMoments
    Indicates that something contains or is associated with particularly notable or unforgettable moments or events.
  • E. rememberedThrough
    Indicates that one entity is remembered, commemorated, or kept in memory by means of, or through the influence of, another entity or medium.
  • F. None of above.

Provenance (6 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_69e75a88fdf081908e47ae6e195c14e1 completed April 21, 2026, 11:07 a.m.
NER Named-entity recognition batch_69f638d11c988190af7fd4572b08e038 completed May 2, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a105d1a18748190965bff0f8bf09987 completed May 22, 2026, 1:41 p.m.
NEDg Description generation batch_6a105dd1e43c8190b10f80fbfa0d1b87 completed May 22, 2026, 1:44 p.m.
NED2 Entity disambiguation (via description) batch_6a105e720558819080a749cd92cd6fc9 completed May 22, 2026, 1:47 p.m.
PD Predicate disambiguation batch_69f63706b6008190993577193c85ff50 completed May 2, 2026, 5:40 p.m.
Created at: April 21, 2026, 12:34 p.m.