Triple
T16427044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anwen Williams |
E398968
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object | Gwen Cooper |
E87216
|
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 Cooper | Statement: [Anwen Williams, mother, Gwen Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gwen Cooper Context triple: [Anwen Williams, mother, Gwen Cooper]
-
A.
Gwen Cooper
chosen
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.
-
B.
Gwen
Gwen is the Allied reporting name for the Mitsubishi Ki-21, a Japanese twin-engine bomber used extensively during World War II.
-
C.
Gwen
Gwen is a feminine given name, often used in English-speaking countries and derived from the Welsh name Gwenhwyfar (Guinevere).
-
D.
Gwen Hotchkiss
Gwen Hotchkiss is a character from the soap opera "Passions," known for her long-running romantic rivalry and dramatic entanglements with Theresa Lopez-Fitzgerald over Ethan Crane.
-
E.
Moira MacTaggert
Moira MacTaggert is a human ally of the X-Men, often portrayed as a brilliant geneticist and expert on mutantkind in Marvel’s X-Men universe.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328fb6cd881908fb6cd1c60f5ac3c |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458168888190bd0be495efa5c563 |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:09 a.m.