Triple
T25076047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Civil Campaign |
E628049
|
entity |
| Predicate | hasDedicationOrMotto |
P141177
|
FINISHED |
| Object |
A Comedy of Biology and Manners
"A Comedy of Biology and Manners" is the playful subtitle of Lois McMaster Bujold’s science fiction novel *A Civil Campaign*, highlighting its blend of romantic comedy, social satire, and genetic engineering themes.
|
E1664412
|
NE FINISHED |
How this triple was built (3 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: A Comedy of Biology and Manners | Statement: [A Civil Campaign, hasDedicationOrMotto, A Comedy of Biology and Manners]
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: A Comedy of Biology and Manners Triple: [A Civil Campaign, hasDedicationOrMotto, A Comedy of Biology and Manners]
Generated description
"A Comedy of Biology and Manners" is the playful subtitle of Lois McMaster Bujold’s science fiction novel *A Civil Campaign*, highlighting its blend of romantic comedy, social satire, and genetic engineering themes.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDedicationOrMotto Context triple: [A Civil Campaign, hasDedicationOrMotto, A Comedy of Biology and Manners]
-
A.
hasMottoDepiction
Indicates that something visually represents or depicts the motto associated with an entity.
-
B.
hasMottoSymbol
Indicates that an entity’s motto is represented or accompanied by a particular symbol.
-
C.
mottoInscription
Indicates that a particular motto is inscribed on or associated as an inscription with an entity.
-
D.
mottoIncluded
chosen
Indicates that a motto is present as part of, or associated with, the referenced entity.
-
E.
usesMotto
Indicates that one entity adopts or employs a particular motto as its guiding phrase or slogan.
- F. None of above.
Provenance (6 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_69e2ff2e73f881909992bf3eda5c25cb |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1048de294c8190897bdd9107d961eb |
completed | May 22, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a104c1f2e448190b0ee1a8c0bca7520 |
completed | May 22, 2026, 12:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a104d107b088190aad51efff7bcef1e |
completed | May 22, 2026, 12:33 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 18, 2026, 6:21 a.m.