Triple

T26272748
Position Surface form Disambiguated ID Type / Status
Subject Tom Parkman E660470 entity
Predicate hasFictionalUniverse P3758 FINISHED
Object The Last of Sheila universe
The Last of Sheila universe is the fictional setting of the 1973 mystery film “The Last of Sheila,” centered on a group of Hollywood insiders entangled in an elaborate, deadly game aboard a Mediterranean yacht.
E1717952 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: The Last of Sheila universe | Statement: [Tom Parkman, hasFictionalUniverse, The Last of Sheila universe]
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: The Last of Sheila universe
Triple: [Tom Parkman, hasFictionalUniverse, The Last of Sheila universe]
Generated description
The Last of Sheila universe is the fictional setting of the 1973 mystery film “The Last of Sheila,” centered on a group of Hollywood insiders entangled in an elaborate, deadly game aboard a Mediterranean yacht.

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_69ee812960d081909cff6085cc9fa3a6 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60e31f5f88190a1e6354a19f33a11 completed May 2, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a118fb61ff08190a21dda366ef4f66e completed May 23, 2026, 11:29 a.m.
NEDg Description generation batch_6a11908b60208190947e35ec81b2db01 completed May 23, 2026, 11:33 a.m.
NED2 Entity disambiguation (via description) batch_6a11918caf0c8190bf907ad2c258a8c4 completed May 23, 2026, 11:37 a.m.
Created at: April 26, 2026, 9:52 p.m.