Triple
T10781799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Douglas Wiggin |
E254335
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wiggin |
E803031
|
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: Wiggin | Statement: [Kate Douglas Wiggin, familyName, Wiggin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wiggin Context triple: [Kate Douglas Wiggin, familyName, Wiggin]
-
A.
Wiggin
chosen
Wiggin is a surname most notably associated with individuals such as former American football player and coach Paul Wiggin.
-
B.
Tattersett
Tattersett is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
-
C.
Lovejoy
Lovejoy is a surname most notably associated with Thomas E. Lovejoy, an influential American biologist and conservationist known for pioneering work in biodiversity.
-
D.
Lovejoy
Lovejoy is a British television drama series about a roguish yet charming antiques dealer with a knack for spotting valuable items and getting into trouble.
-
E.
Hollingworth
Hollingworth is a village in Tameside, Greater Manchester, England, situated near the Longdendale valley.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732c5618081908f72838ed42ed05c |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de55fbfc70819098eb40cf0d1b9e8c |
completed | April 14, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:17 p.m.