Triple
T1438415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enid Blyton |
E31010
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Noddy |
E31013
|
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: Noddy | Statement: [Enid Blyton, notableWork, Noddy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noddy Context triple: [Enid Blyton, notableWork, Noddy]
-
A.
Noddy
chosen
Noddy is a popular British children's book character, a wooden boy who lives in the toy town of Toyland, created by author Enid Blyton.
-
B.
Dora
Dora is the given name of Dora Sigerson Shorter, an Irish poet associated with the late 19th- and early 20th-century literary revival.
-
C.
Tom Thumb
Tom Thumb was an early experimental American steam locomotive built in 1830 that demonstrated the viability of steam power for the Baltimore and Ohio Railroad.
-
D.
Teddy Bears
Teddy Bears is a popular nickname for Rangers F.C., one of Scotland’s most successful and widely supported football clubs.
-
E.
Dudly
Dudly is an alternative spelling or variant form of the given name Dudley.
- 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_69a4991633388190a4d61b5a98aa407a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5059ef88190af20e796acdb2058 |
completed | March 1, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08ba2cf88190a859bb0974761968 |
completed | March 8, 2026, 5:27 a.m. |
Created at: March 1, 2026, 8 p.m.