Triple
T15280087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eighth Doctor |
E365244
|
entity |
| Predicate | companion |
P2932
|
FINISHED |
| Object | Grace Holloway |
E906210
|
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: Grace Holloway | Statement: [Eighth Doctor, companion, Grace Holloway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grace Holloway Context triple: [Eighth Doctor, companion, Grace Holloway]
-
A.
Grace Holloway
chosen
Grace Holloway is a companion character in the Doctor Who universe, portrayed as a skilled cardiologist who becomes entangled in the Eighth Doctor’s adventures in the 1996 television movie.
-
B.
Charlotte Hinchcliffe
Charlotte Hinchcliffe is a popular, confident girl from the British sitcom "The Inbetweeners," known for her on-and-off romantic involvement with main character Will McKenzie.
-
C.
Meredith Oakes
Meredith Oakes is an Australian-born playwright, librettist, and translator known for her work in contemporary opera and theatre.
-
D.
Willa Weston
Willa Weston is a driven and ambitious executive character in the comedy film "Fierce Creatures," known for her sharp wit and corporate savvy.
-
E.
Charlotte Huggins
Charlotte Huggins is a film producer best known for her work on large-scale visual effects and 3D adventure movies.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00e504d8c8190ad6c565a31d1a9bd |
completed | April 15, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef754c9c8190abdc1d08fd1511cd |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:15 a.m.