Triple

T26311730
Position Surface form Disambiguated ID Type / Status
Subject Paul McGillion E661843 entity
Predicate appearedIn P795 FINISHED
Object Once Upon a Time
Once Upon a Time is a fantasy drama television series that intertwines classic fairy-tale characters and stories within a modern-day setting.
 E1687087 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: Once Upon a Time | Statement: [Paul McGillion, appearedIn, Once Upon a Time]
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: Once Upon a Time
Triple: [Paul McGillion, appearedIn, Once Upon a Time]
Generated description
Once Upon a Time is a fantasy drama television series that intertwines classic fairy-tale characters and stories within a modern-day setting.

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_69ee812dacfc81908484aade9120fba9 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60ee9c8f081909013eeeb7744af9c completed May 2, 2026, 2:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a118fd3f8e481909430bda9bb8fc728 completed May 23, 2026, 11:30 a.m.
NEDg Description generation batch_6a1190bd0a3481909994a487903388d8 completed May 23, 2026, 11:34 a.m.
NED2 Entity disambiguation (via description) batch_6a119145a7008190b6b01851f1ee63ad completed May 23, 2026, 11:36 a.m.
Created at: April 26, 2026, 10:22 p.m.