Triple
T23873165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iván Petrovich |
E592782
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Student of Prague
The Student of Prague is a classic German silent horror film, first made in 1913 and remade in 1926, known for its pioneering use of the doppelgänger theme and psychological fantasy elements.
|
E1605446
|
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 Student of Prague | Statement: [Iván Petrovich, notableWork, The Student of Prague]
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 Student of Prague Triple: [Iván Petrovich, notableWork, The Student of Prague]
Generated description
The Student of Prague is a classic German silent horror film, first made in 1913 and remade in 1926, known for its pioneering use of the doppelgänger theme and psychological fantasy elements.
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_69e25d23a5c88190ae3999c70ca15e08 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cbff91788190b7aabe285014b873 |
completed | April 29, 2026, 9:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0f69c3bf1c8190bb334281ca181411 |
completed | May 21, 2026, 8:23 p.m. |
| NEDg | Description generation | batch_6a0f6d4399e481908e08d9dc8dd5e139 |
completed | May 21, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0f6e38cf648190b30122be93c70685 |
completed | May 21, 2026, 8:42 p.m. |
Created at: April 17, 2026, 8:14 p.m.