Triple
T6202291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Connie Willis |
E138662
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Bellwether
Bellwether is a humorous science fiction novella by Connie Willis that satirizes fads, bureaucracy, and the chaos of modern life through the story of a researcher studying trends.
|
E576331
|
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: Bellwether | Statement: [Connie Willis, notableWork, Bellwether]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bellwether Context triple: [Connie Willis, notableWork, Bellwether]
-
A.
Bonnett
Bonnett is a surname most notably associated with American NASCAR driver Neil Bonnett.
-
B.
Weaver
Weaver is a common English occupational surname historically given to people who worked as weavers of cloth or textiles.
-
C.
Weaver
Weaver is a central human resistance leader and military commander in the science fiction TV series "Falling Skies," known for his fierce opposition to the alien Espheni invaders.
-
D.
Coxen
Coxen is a surname variant of Cox, typically of English origin.
-
E.
Shepherd
Shepherd is the customizable space explorer protagonist introduced in Pikmin 4, leading squads of Pikmin on rescue and exploration missions.
- 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: Bellwether Triple: [Connie Willis, notableWork, Bellwether]
Generated description
Bellwether is a humorous science fiction novella by Connie Willis that satirizes fads, bureaucracy, and the chaos of modern life through the story of a researcher studying trends.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bellwether Target entity description: Bellwether is a humorous science fiction novella by Connie Willis that satirizes fads, bureaucracy, and the chaos of modern life through the story of a researcher studying trends.
-
A.
Bonnett
Bonnett is a surname most notably associated with American NASCAR driver Neil Bonnett.
-
B.
Weaver
Weaver is a common English occupational surname historically given to people who worked as weavers of cloth or textiles.
-
C.
Weaver
Weaver is a central human resistance leader and military commander in the science fiction TV series "Falling Skies," known for his fierce opposition to the alien Espheni invaders.
-
D.
Coxen
Coxen is a surname variant of Cox, typically of English origin.
-
E.
Shepherd
Shepherd is the customizable space explorer protagonist introduced in Pikmin 4, leading squads of Pikmin on rescue and exploration missions.
- 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_69c008acbea48190991c6b834bb45d65 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0626a32908190a3332008aee2e4a9 |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f3bad2c8190b0ad0f2def3af9f7 |
completed | March 23, 2026, 4:50 p.m. |
| NEDg | Description generation | batch_69c1be41b0c881909aff05430b23dc71 |
completed | March 23, 2026, 10:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c1bf50f6b881909e23e95d6ff0fd4d |
completed | March 23, 2026, 10:31 p.m. |
Created at: March 22, 2026, 4:20 p.m.