Triple
T26384593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Bogaev |
E663241
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Evita (1996 film)
Evita (1996 film) is a musical drama adaptation of the Andrew Lloyd Webber–Tim Rice stage musical, depicting the life of Argentine First Lady Eva Perón and starring Madonna in the title role.
|
E1720493
|
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: Evita (1996 film) | Statement: [Paul Bogaev, notableWork, Evita (1996 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: Evita (1996 film) Triple: [Paul Bogaev, notableWork, Evita (1996 film)]
Generated description
Evita (1996 film) is a musical drama adaptation of the Andrew Lloyd Webber–Tim Rice stage musical, depicting the life of Argentine First Lady Eva Perón and starring Madonna in the title role.
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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f610784f7481908cc17baeac8a23e4 |
completed | May 2, 2026, 2:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a119a7cabbc8190a445f6fa865c2446 |
completed | May 23, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a119b15cbb4819087ea26f6c87d8732 |
completed | May 23, 2026, 12:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a119ba6270881908b5a151d25fb79d8 |
completed | May 23, 2026, 12:20 p.m. |
Created at: April 26, 2026, 11:21 p.m.