Triple
T17219255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cosmicomics |
E417930
|
entity |
| Predicate | hasStory |
P11859
|
FINISHED |
| Object |
How Much Shall We Bet
"How Much Shall We Bet" is a short story by Italo Calvino from his collection *Cosmicomics*, blending speculative cosmology with playful, philosophical fiction.
|
E1257707
|
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: How Much Shall We Bet | Statement: [Cosmicomics, hasStory, How Much Shall We Bet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: How Much Shall We Bet Context triple: [Cosmicomics, hasStory, How Much Shall We Bet]
-
A.
I Bet
"I Bet" is an R&B song by American singer Ciara, released in 2015 and known for its emotionally charged lyrics about heartbreak and empowerment.
-
B.
I Bet
"I Bet" is a song by the American dream pop duo Beach House, known for its lush, atmospheric sound and introspective mood.
-
C.
I Bet
"I Bet" is a song released as a single by the artist Jackie.
-
D.
The Odds
The Odds is a novel by American author Stewart O'Nan that follows a middle-aged couple on the brink of divorce who take a final, desperate trip to Niagara Falls in hopes of salvaging both their marriage and finances.
-
E.
The Big Gamble
The Big Gamble is a 1961 adventure-comedy film about two men undertaking a perilous trucking venture in Africa.
- 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: How Much Shall We Bet Triple: [Cosmicomics, hasStory, How Much Shall We Bet]
Generated description
"How Much Shall We Bet" is a short story by Italo Calvino from his collection *Cosmicomics*, blending speculative cosmology with playful, philosophical fiction.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: How Much Shall We Bet Target entity description: "How Much Shall We Bet" is a short story by Italo Calvino from his collection *Cosmicomics*, blending speculative cosmology with playful, philosophical fiction.
-
A.
I Bet
"I Bet" is an R&B song by American singer Ciara, released in 2015 and known for its emotionally charged lyrics about heartbreak and empowerment.
-
B.
I Bet
"I Bet" is a song by the American dream pop duo Beach House, known for its lush, atmospheric sound and introspective mood.
-
C.
I Bet
"I Bet" is a song released as a single by the artist Jackie.
-
D.
The Odds
The Odds is a novel by American author Stewart O'Nan that follows a middle-aged couple on the brink of divorce who take a final, desperate trip to Niagara Falls in hopes of salvaging both their marriage and finances.
-
E.
The Big Gamble
The Big Gamble is a 1961 adventure-comedy film about two men undertaking a perilous trucking venture in Africa.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddc3cb88190a67e35164d710d9d |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01675553b88190a04987b0de62cb15 |
completed | May 11, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_6a0169e5f7e881909cb3fe35935d888d |
completed | May 11, 2026, 5:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a016a46409881908ea7e93fd31cd5c5 |
completed | May 11, 2026, 5:33 a.m. |
Created at: April 10, 2026, 5:38 a.m.