Triple
T1379384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neil Gaiman |
E29300
|
entity |
| Predicate | influencedBy |
P9
|
FINISHED |
| Object | C. S. Lewis |
E114149
|
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: C. S. Lewis | Statement: [Neil Gaiman, influencedBy, C. S. Lewis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: C. S. Lewis Context triple: [Neil Gaiman, influencedBy, C. S. Lewis]
-
A.
C. S. Lewis
chosen
C. S. Lewis was a British writer and scholar best known for his Christian apologetic works and the beloved fantasy series "The Chronicles of Narnia."
-
B.
J. R. R. Tolkien
J. R. R. Tolkien was an English writer, philologist, and academic best known as the author of the high-fantasy novels "The Hobbit" and "The Lord of the Rings."
-
C.
T. H. White
T. H. White was a British author best known for his Arthurian fantasy series "The Once and Future King."
-
D.
G. K. Chesterton
G. K. Chesterton was an English writer, essayist, and Christian apologist known for his witty prose, philosophical depth, and the Father Brown detective stories.
-
E.
Alan Garner
Alan Garner is an English novelist renowned for his fantasy and children's literature rooted in folklore and the landscapes of Cheshire, particularly works like "The Weirdstone of Brisingamen" and "The Owl Service."
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c3187f248190a5813274b0ef944d |
completed | March 1, 2026, 10:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acd48a48fc81908b156c273cb5dfc0 |
completed | March 8, 2026, 1:44 a.m. |
Created at: March 1, 2026, 7:59 p.m.