Triple
T16252352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweet Thursday |
E394540
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Fauna
Fauna is a central character in John Steinbeck’s novel "Sweet Thursday," known as the sharp-witted, maternal madam who oversees the Bear Flag brothel in Cannery Row.
|
E1202932
|
NE FINISHED |
How this triple was built (4 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: Fauna | Statement: [Sweet Thursday, hasCharacter, Fauna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fauna Context triple: [Sweet Thursday, hasCharacter, Fauna]
-
A.
Fauna
Fauna is one of the three good fairies in Disney's "Sleeping Beauty," known for her gentle, nurturing nature and green attire.
-
B.
Fauna
Fauna is a Roman goddess associated with fertility, the earth, and prophetic inspiration, often linked to rural life and nature.
-
C.
Megafaun
Megafaun is an American experimental folk band known for its eclectic blend of folk, psychedelic, and improvisational music, formed by former members of DeYarmond Edison.
-
D.
Aloisia
Aloisia is a feminine given name, used as an alternative spelling of Aloysia and related to names like Aloysius and Louise.
-
E.
Budorcas
Budorcas is a genus of large, goat-antelope-like mammals best known for the takin, a robust, shaggy ungulate native to the mountainous regions of Asia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Fauna Triple: [Sweet Thursday, hasCharacter, Fauna]
Generated description
Fauna is a central character in John Steinbeck’s novel "Sweet Thursday," known as the sharp-witted, maternal madam who oversees the Bear Flag brothel in Cannery Row.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fauna Target entity description: Fauna is a central character in John Steinbeck’s novel "Sweet Thursday," known as the sharp-witted, maternal madam who oversees the Bear Flag brothel in Cannery Row.
-
A.
Fauna
Fauna is one of the three good fairies in Disney's "Sleeping Beauty," known for her gentle, nurturing nature and green attire.
-
B.
Fauna
Fauna is a Roman goddess associated with fertility, the earth, and prophetic inspiration, often linked to rural life and nature.
-
C.
Megafaun
Megafaun is an American experimental folk band known for its eclectic blend of folk, psychedelic, and improvisational music, formed by former members of DeYarmond Edison.
-
D.
Aloisia
Aloisia is a feminine given name, used as an alternative spelling of Aloysia and related to names like Aloysius and Louise.
-
E.
Budorcas
Budorcas is a genus of large, goat-antelope-like mammals best known for the takin, a robust, shaggy ungulate native to the mountainous regions of Asia.
- F. None of above. chosen
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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24597b74481908fdb8175628a57a1 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ee788f88190b16d267f1eee6d62 |
completed | May 10, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_6a00113900c88190bf7f56ca4b16a84c |
completed | May 10, 2026, 5:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0011d98f708190805c84d63ed79aaa |
completed | May 10, 2026, 5:04 a.m. |
Created at: April 10, 2026, 5:04 a.m.