Triple
T38045158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Eisenberg |
E949597
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
What Happened to Auguste Clarot?
"What Happened to Auguste Clarot?" is a science fiction short story by American writer Larry Eisenberg, known for its blend of speculative ideas and darkly humorous, ironic twists.
|
E2253824
|
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: What Happened to Auguste Clarot? | Statement: [Larry Eisenberg, notableWork, What Happened to Auguste Clarot?]
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: What Happened to Auguste Clarot? Triple: [Larry Eisenberg, notableWork, What Happened to Auguste Clarot?]
Generated description
"What Happened to Auguste Clarot?" is a science fiction short story by American writer Larry Eisenberg, known for its blend of speculative ideas and darkly humorous, ironic twists.
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_69f76eff0bb0819084bc4e63997bd039 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc9d9699881908aebfa28c4dec5b3 |
completed | May 6, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41544cff788190806d5a9fa7f1c0fe |
completed | June 28, 2026, 5:05 p.m. |
| NEDg | Description generation | batch_6a41581fcf9481908941b338fff2bab5 |
completed | June 28, 2026, 5:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a4158811d8c819098aaf7e6b79dfefd |
completed | June 28, 2026, 5:23 p.m. |
Created at: May 3, 2026, 4:20 p.m.