Triple
T32203908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jakob Liebmann Beer |
E822618
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Il crociato in Egitto
Il crociato in Egitto is an 1824 Italian opera by Giacomo Meyerbeer that marked his breakthrough in the Italian bel canto style before his later fame in French grand opera.
|
E1997005
|
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: Il crociato in Egitto | Statement: [Jakob Liebmann Beer, notableWork, Il crociato in Egitto]
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: Il crociato in Egitto Triple: [Jakob Liebmann Beer, notableWork, Il crociato in Egitto]
Generated description
Il crociato in Egitto is an 1824 Italian opera by Giacomo Meyerbeer that marked his breakthrough in the Italian bel canto style before his later fame in French grand opera.
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_69f349093174819086e633c190a51aa8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bb3e928c819095aafcac5970e923 |
completed | May 3, 2026, 3:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2f3b934c108190ae4118be13ac79f9 |
completed | June 14, 2026, 11:38 p.m. |
| NEDg | Description generation | batch_6a2f3c207d988190835c5bda034bbc6c |
completed | June 14, 2026, 11:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2f3ef33fc08190bdedc81c93429535 |
completed | June 14, 2026, 11:53 p.m. |
Created at: May 1, 2026, 12:36 a.m.