Triple
T16011687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Watts |
E388349
|
entity |
| Predicate | authorOf |
P4244
|
FINISHED |
| Object |
βehemoth: β-Max
βehemoth: β-Max is a hard science fiction novel by Peter Watts that continues his dark, bioengineered post-apocalyptic Behemoth storyline.
|
E1189418
|
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: βehemoth: β-Max | Statement: [Peter Watts, authorOf, βehemoth: β-Max]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: βehemoth: β-Max Context triple: [Peter Watts, authorOf, βehemoth: β-Max]
-
A.
BHE
BHE is the station code for Berlin-Hermsdorf railway station in Berlin, Germany.
-
B.
BFEH
BFEH is the German Federal Office dedicated to promoting and safeguarding the equal rights and inclusion of people with disabilities.
-
C.
BMH
BMH is the National Rail station code for Bournemouth railway station in Dorset, England.
-
D.
BHB
BHB is the stock exchange of the Kingdom of Bahrain, providing a regulated marketplace for trading securities and other financial instruments.
-
E.
BEM
BEM is the post-nominal abbreviation for the British Empire Medal, an honor awarded for meritorious civil or military service in the United Kingdom and Commonwealth.
- 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: βehemoth: β-Max Triple: [Peter Watts, authorOf, βehemoth: β-Max]
Generated description
βehemoth: β-Max is a hard science fiction novel by Peter Watts that continues his dark, bioengineered post-apocalyptic Behemoth storyline.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: βehemoth: β-Max Target entity description: βehemoth: β-Max is a hard science fiction novel by Peter Watts that continues his dark, bioengineered post-apocalyptic Behemoth storyline.
-
A.
BHE
BHE is the station code for Berlin-Hermsdorf railway station in Berlin, Germany.
-
B.
BFEH
BFEH is the German Federal Office dedicated to promoting and safeguarding the equal rights and inclusion of people with disabilities.
-
C.
BMH
BMH is the National Rail station code for Bournemouth railway station in Dorset, England.
-
D.
BHB
BHB is the stock exchange of the Kingdom of Bahrain, providing a regulated marketplace for trading securities and other financial instruments.
-
E.
BEM
BEM is the post-nominal abbreviation for the British Empire Medal, an honor awarded for meritorious civil or military service in the United Kingdom and Commonwealth.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1829119648190aef5b5e84b26d898 |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf267a9c81908f1fa1ad117c5e2c |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffd0bfc05881908d7223c52050ea14 |
completed | May 10, 2026, 12:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd159dbcc81908ac586a6b8de57cf |
completed | May 10, 2026, 12:29 a.m. |
Created at: April 10, 2026, 4:55 a.m.