Triple
T2696217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duncan Grant |
E58516
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Duncan |
E199692
|
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: Duncan | Statement: [Duncan Grant, givenName, Duncan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duncan Context triple: [Duncan Grant, givenName, Duncan]
-
A.
Duncan
Duncan is a character in Margaret Atwood's novel "The Edible Woman," serving as an eccentric and introspective figure who reflects the protagonist's psychological turmoil.
-
B.
Duncan
chosen
Duncan is a small city on southern Vancouver Island in British Columbia, Canada, known for its many totem poles and rich Indigenous heritage.
-
C.
Iain
Iain is a Scottish Gaelic given name, traditionally used as a form of John and closely related to the name Ian.
-
D.
John Alexander
John Alexander was a prominent landowner in colonial Virginia whose family holdings encompassed the area that later became the city of Alexandria.
-
E.
John Alexander
John Alexander is an American actor and creature performer known for his work in practical effects and suit acting in fantasy and science fiction films.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda3112108190a5e49c13368cf83f |
completed | March 7, 2026, 7:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf6aa78c8190b57be36042008361 |
completed | March 10, 2026, 5:43 a.m. |
Created at: March 6, 2026, 9:55 p.m.