Triple

T28261834
Position Surface form Disambiguated ID Type / Status
Subject La Belle Hélène E712601 entity
Predicate hasCharacter P2308 FINISHED
Object Ajax II
Ajax II is a comic character in Jacques Offenbach’s operetta "La Belle Hélène," loosely based on the mythological Greek hero Ajax and used to satirize classical themes.
 E1811663 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: Ajax II | Statement: [La Belle Hélène, hasCharacter, Ajax II]
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: Ajax II
Triple: [La Belle Hélène, hasCharacter, Ajax II]
Generated description
Ajax II is a comic character in Jacques Offenbach’s operetta "La Belle Hélène," loosely based on the mythological Greek hero Ajax and used to satirize classical themes.

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_69efb5207eb08190827e4c34048030b1 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f64419e5f881908d08370af0445383 completed May 2, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1607173b78819082a359d96a70770a completed May 26, 2026, 8:48 p.m.
NEDg Description generation batch_6a161433b69c81909fdd10b625bcfb9d completed May 26, 2026, 9:44 p.m.
NED2 Entity disambiguation (via description) batch_6a16149e8dd48190996fb7f0f32fb031 completed May 26, 2026, 9:46 p.m.
Created at: April 27, 2026, 11:12 p.m.