Triple

T24188385
Position Surface form Disambiguated ID Type / Status
Subject The Ford Television Theatre E599623 entity
Predicate alsoKnownAs P39 FINISHED
Object Ford Television Theater
Ford Television Theater was an American anthology drama television series from the 1950s, sponsored by the Ford Motor Company and featuring standalone stories with different casts each week.
E1622854 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: Ford Television Theater | Statement: [The Ford Television Theatre, alsoKnownAs, Ford Television Theater]
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: Ford Television Theater
Triple: [The Ford Television Theatre, alsoKnownAs, Ford Television Theater]
Generated description
Ford Television Theater was an American anthology drama television series from the 1950s, sponsored by the Ford Motor Company and featuring standalone stories with different casts each week.

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_69e288cdc8b88190bf2f835d3cb4ca28 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e24423108190a580ce7d69860a22 completed April 29, 2026, 10:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fad469fdc8190ab6c0fcbb30d5ade completed May 22, 2026, 1:11 a.m.
NEDg Description generation batch_6a0fb28b669c8190b6558d8a3a8f8a69 completed May 22, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_6a0fb2f1cfdc81909817839ef4a31f33 completed May 22, 2026, 1:35 a.m.
Created at: April 17, 2026, 11:35 p.m.