Triple

T27369176
Position Surface form Disambiguated ID Type / Status
Subject Michael Fitzgerald E690260 entity
Predicate notableWork P4 FINISHED
Object The Sheltering Sky
The Sheltering Sky is a 1990 drama film directed by Bernardo Bertolucci, adapted from Paul Bowles’ novel about American travelers adrift in North Africa after World War II.
 E631266 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 Sheltering Sky | Statement: [Michael Fitzgerald, notableWork, The Sheltering Sky]
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 Sheltering Sky
Triple: [Michael Fitzgerald, notableWork, The Sheltering Sky]
Generated description
The Sheltering Sky is a 1990 drama film directed by Bernardo Bertolucci, adapted from Paul Bowles’ novel about American travelers adrift in North Africa after World War II.

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_69ef51ff826081909e42c8e2bfb97941 completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62c5f6bf48190b5ca045b90b14c54 completed May 2, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12a7e41c9c8190a8500f89e550fb21 completed May 24, 2026, 7:25 a.m.
NEDg Description generation batch_6a12a9604bd88190870f35189d3080ea completed May 24, 2026, 7:31 a.m.
NED2 Entity disambiguation (via description) batch_6a12aa0e55a88190ae8b69a3063f47a7 completed May 24, 2026, 7:34 a.m.
Created at: April 27, 2026, 12:18 p.m.