Triple

T18716713
Position Surface form Disambiguated ID Type / Status
Subject The Boy from Oz (Broadway production starring Hugh Jackman) E457660 entity
Predicate producer P490 FINISHED
Object Stewart F. Lane
Stewart F. Lane is an American theater producer and director known for his work on numerous Broadway productions and for co-owning the Palace Theatre.
E2043457 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: Stewart F. Lane | Statement: [The Boy from Oz (Broadway production starring Hugh Jackman), producer, Stewart F. Lane]
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: Stewart F. Lane
Triple: [The Boy from Oz (Broadway production starring Hugh Jackman), producer, Stewart F. Lane]
Generated description
Stewart F. Lane is an American theater producer and director known for his work on numerous Broadway productions and for co-owning the Palace Theatre.

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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56ab6e0948190b8c70bdea43d2ee5 completed April 19, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3538e60ed481908835cc9a4ac5996d completed June 19, 2026, 12:41 p.m.
NEDg Description generation batch_6a3539d6f5448190aee35547822a99ff completed June 19, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_6a353abc2f7c8190bb5843c25bb84256 completed June 19, 2026, 12:49 p.m.
Created at: April 10, 2026, 11:50 a.m.