Triple
T14323445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gwendolyn |
E355151
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Gwen |
E892794
|
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: Gwen | Statement: [Gwendolyn, hasVariant, Gwen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gwen Context triple: [Gwendolyn, hasVariant, Gwen]
-
A.
Gwen
Gwen is the Allied reporting name for the Mitsubishi Ki-21, a Japanese twin-engine bomber used extensively during World War II.
-
B.
Gwen
chosen
Gwen is a feminine given name, often used in English-speaking countries and derived from the Welsh name Gwenhwyfar (Guinevere).
-
C.
Gwen Brown
Gwen Brown is a singer best known for her tenure as a member of the American pop and R&B vocal group The 5th Dimension.
-
D.
Gwen Raiden
Gwen Raiden is a lightning-controlling thief and occasional ally of Angel and his team in the television series "Angel."
-
E.
Gwen Cooper
Gwen Cooper is a compassionate yet tough Welsh police officer who becomes a key member of the secret alien-hunting team in the British sci-fi series Torchwood.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883d1de88190a1e2bf2f1b692197 |
completed | April 14, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c394d288190bee966a4e4b3ec58 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:13 a.m.