Triple
T38633582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugene Aram |
E937520
|
entity |
| Predicate | inspiredWork |
P1994
|
FINISHED |
| Object |
“Eugene Aram” (1832 novel by Edward Bulwer-Lytton)
“Eugene Aram” is an 1832 historical crime novel by Edward Bulwer-Lytton that fictionalizes the life and moral downfall of the 18th-century English scholar and murderer Eugene Aram.
|
E2277824
|
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: “Eugene Aram” (1832 novel by Edward Bulwer-Lytton) | Statement: [Eugene Aram, inspiredWork, “Eugene Aram” (1832 novel by Edward Bulwer-Lytton)]
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: “Eugene Aram” (1832 novel by Edward Bulwer-Lytton) Triple: [Eugene Aram, inspiredWork, “Eugene Aram” (1832 novel by Edward Bulwer-Lytton)]
Generated description
“Eugene Aram” is an 1832 historical crime novel by Edward Bulwer-Lytton that fictionalizes the life and moral downfall of the 18th-century English scholar and murderer Eugene Aram.
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_69f76ed5ca3c81909288f61fbf37b359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcd9b4b3c88190b70e50f9387f9e35 |
completed | May 7, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41f454e55481908bd403985a0e5dd0 |
completed | June 29, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_6a41f55d6f74819085b208204dcd68dc |
completed | June 29, 2026, 4:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41f623a0b481909e9fe64ea06c7a40 |
completed | June 29, 2026, 4:35 a.m. |
Created at: May 3, 2026, 4:32 p.m.