Triple

T32191827
Position Surface form Disambiguated ID Type / Status
Subject Jerome Bixby E822275 entity
Predicate wrote P2831 FINISHED
Object short story "It's a Good Life"
"It's a Good Life" is a classic science fiction horror short story about a small town terrorized by a godlike child with psychic powers, best known from its adaptation in The Twilight Zone.
 E1995786 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: short story "It's a Good Life" | Statement: [Jerome Bixby, wrote, short story "It's a Good Life"]
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: short story "It's a Good Life"
Triple: [Jerome Bixby, wrote, short story "It's a Good Life"]
Generated description
"It's a Good Life" is a classic science fiction horror short story about a small town terrorized by a godlike child with psychic powers, best known from its adaptation in The Twilight Zone.

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_69f3490819cc81909bae1f8ce99423c5 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bace6c508190a7b25ad1024151b6 completed May 3, 2026, 3:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f0beab55881908c02b07c3e87af9c completed June 14, 2026, 8:15 p.m.
NEDg Description generation batch_6a2f1b70704c8190850bfb9c02e2ff25 completed June 14, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_6a2f1bfdaec481909bc83ad0142de144 completed June 14, 2026, 9:24 p.m.
Created at: May 1, 2026, 12:35 a.m.