Triple

T24634355

Position	Surface form	Disambiguated ID	Type / Status
Subject	Transmission	`E609762`	entity
Predicate	firstTelevisionPerformance	`P13890`	FINISHED
Object	BBC2 show "Something Else" "Something Else" was a late-1970s BBC2 youth culture and music television programme noted for showcasing emerging punk and new wave bands.	`E1643289`	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: BBC2 show "Something Else" | Statement: [Transmission, firstTelevisionPerformance, BBC2 show "Something Else"]

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: BBC2 show "Something Else"
Triple: [Transmission, firstTelevisionPerformance, BBC2 show "Something Else"]

Generated description

"Something Else" was a late-1970s BBC2 youth culture and music television programme noted for showcasing emerging punk and new wave bands.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: firstTelevisionPerformance
Context triple: [Transmission, firstTelevisionPerformance, BBC2 show "Something Else"]

A. firstTelevisionBroadcast
Indicates that the subject is the entity responsible for the earliest or inaugural television broadcast of the object.
B. firstTelevisionProgram
Indicates that the subject entity is the earliest or initial television program associated with the object entity (such as a person, channel, or series).
C. firstTelecastOn chosen
Indicates the date or event on which something, typically a program or broadcast, was first shown on television.
D. firstPerformance
Indicates that an entity marks the initial or debut performance of another entity, such as a work, artist, or production.
E. firstOfficialPerformance
Indicates that an event is the earliest formally recognized performance or presentation by a particular entity (such as an artist, group, or production).
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_69e2c4d28f848190ac38c400060e943d`	completed	April 17, 2026, 11:40 p.m.
NER	Named-entity recognition	`batch_69f2be064ff88190b5d9e5ec75a41242`	completed	April 30, 2026, 2:27 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a10048b75488190aeda5c0f86544409`	completed	May 22, 2026, 7:23 a.m.
NEDg	Description generation	`batch_6a1005c654ac81909ec25aa0dd1153d6`	completed	May 22, 2026, 7:29 a.m.
NED2	Entity disambiguation (via description)	`batch_6a100646305481909ac445bbda689862`	completed	May 22, 2026, 7:31 a.m.
PD	Predicate disambiguation	`batch_69f2a6d0ab708190b2e3b94dd20ca76b`	completed	April 30, 2026, 12:48 a.m.

Created at: April 18, 2026, 2:32 a.m.