Triple

T29150535
Position Surface form Disambiguated ID Type / Status
Subject Paul Spector E738894 entity
Predicate firstAppearance P795 FINISHED
Object The Fall, series 1
The Fall, series 1 is the first season of the British-Irish crime drama television series that follows Detective Superintendent Stella Gibson as she hunts a serial killer in Belfast.
 E1854133 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 Fall, series 1 | Statement: [Paul Spector, firstAppearance, The Fall, series 1]
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 Fall, series 1
Triple: [Paul Spector, firstAppearance, The Fall, series 1]
Generated description
The Fall, series 1 is the first season of the British-Irish crime drama television series that follows Detective Superintendent Stella Gibson as she hunts a serial killer in Belfast.

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_69f07cb46f148190874eb8576a447567 completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f662a439c88190985b014077e75ecc completed May 2, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a255063be9881908a27174ea2f21fe0 completed June 7, 2026, 11:05 a.m.
NEDg Description generation batch_6a25547cd54881909c2cdf767f15c71a completed June 7, 2026, 11:22 a.m.
NED2 Entity disambiguation (via description) batch_6a25602c1134819088fc1b0b5e3570e3 completed June 7, 2026, 12:12 p.m.
Created at: April 28, 2026, 11:42 a.m.