Triple

T24113274
Position Surface form Disambiguated ID Type / Status
Subject Frank Faylen E597435 entity
Predicate portrayed P1668 FINISHED
Object Ernie Bishop in It's a Wonderful Life
Ernie Bishop in "It's a Wonderful Life" is the friendly Bedford Falls cab driver and close friend of George Bailey who helps illustrate the impact of George's life on his community.
E1617428 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: Ernie Bishop in It's a Wonderful Life | Statement: [Frank Faylen, portrayed, Ernie Bishop in It's a Wonderful 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: Ernie Bishop in It's a Wonderful Life
Triple: [Frank Faylen, portrayed, Ernie Bishop in It's a Wonderful Life]
Generated description
Ernie Bishop in "It's a Wonderful Life" is the friendly Bedford Falls cab driver and close friend of George Bailey who helps illustrate the impact of George's life on his community.

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_69e288c74200819098ab875b592cb39f completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1de1cf75c8190ad5352d4b290e735 completed April 29, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f9689dec08190945799440ef1d65e completed May 21, 2026, 11:34 p.m.
NEDg Description generation batch_6a0f982bbdf881909c1651b1d2a91c85 completed May 21, 2026, 11:41 p.m.
NED2 Entity disambiguation (via description) batch_6a0f99ae95f88190b09d6ad00f85290d completed May 21, 2026, 11:47 p.m.
Created at: April 17, 2026, 11:03 p.m.