Triple
T5117457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Kube-McDowell |
E115371
|
entity |
| Predicate | hasPartInBibliography |
P7332
|
FINISHED |
| Object | Enigma |
E495386
|
NE FINISHED |
How this triple was built (2 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: Enigma | Statement: [Michael Kube-McDowell, hasPartInBibliography, Enigma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enigma Context triple: [Michael Kube-McDowell, hasPartInBibliography, Enigma]
-
A.
Enigma
chosen
Enigma is a science fiction novel by Michael Kube-McDowell that explores complex themes of human identity, communication, and first contact.
-
B.
Enigma
Enigma is a stage play by Tom Stoppard that characteristically blends intellectual intrigue, wordplay, and complex human relationships.
-
C.
The Black Box
The Black Box is a crime novel by Michael Connelly featuring LAPD detective Harry Bosch as he reopens a decades-old murder case first encountered during the 1992 Los Angeles riots.
-
D.
Committee Room 13
Committee Room 13 is a meeting chamber within the UK House of Commons used for parliamentary committee sessions and related legislative business.
-
E.
ECHELON
ECHELON is a highly secretive global signals intelligence and surveillance system believed to intercept and analyze vast amounts of communications data for the United States and its allies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4441d1648190a54a533895041987 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd77ccb19c8190844c628ff7cfcca2 |
completed | March 20, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69becfcf12448190a196e9397958fbba |
completed | March 21, 2026, 5:05 p.m. |
Created at: March 20, 2026, 1:41 p.m.