Triple

T34566717
Position Surface form Disambiguated ID Type / Status
Subject James Hayter E887510 entity
Predicate notableWork P4 FINISHED
Object The Blue Lagoon (1949 film)
The Blue Lagoon (1949 film) is a British romantic adventure drama about two young castaways growing up together on a remote tropical island, adapted from Henry De Vere Stacpoole’s novel.
 E2102872 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: The Blue Lagoon (1949 film) | Statement: [James Hayter, notableWork, The Blue Lagoon (1949 film)]
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: The Blue Lagoon (1949 film)
Triple: [James Hayter, notableWork, The Blue Lagoon (1949 film)]
Generated description
The Blue Lagoon (1949 film) is a British romantic adventure drama about two young castaways growing up together on a remote tropical island, adapted from Henry De Vere Stacpoole’s novel.

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_69f349d1a5fc81908557a46875b2f157 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f720671b2881909b5f85ea73a7a8fa completed May 3, 2026, 10:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a37362c156081909a43c7f2af149de1 completed June 21, 2026, 12:54 a.m.
NEDg Description generation batch_6a37372aa9608190a607c9b4d0c4f978 completed June 21, 2026, 12:58 a.m.
NED2 Entity disambiguation (via description) batch_6a373a7631588190a8fb371e7e7338ac completed June 21, 2026, 1:12 a.m.
Created at: May 1, 2026, 2:02 a.m.