Triple
T14276989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Day of the Doctor |
E353940
|
entity |
| Predicate | featuresActor |
P15562
|
FINISHED |
| Object | Jenna Coleman |
E380739
|
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: Jenna Coleman | Statement: [The Day of the Doctor, featuresActor, Jenna Coleman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jenna Coleman Context triple: [The Day of the Doctor, featuresActor, Jenna Coleman]
-
A.
Jenna-Louise Coleman
chosen
Jenna-Louise Coleman is an English actress best known for playing the companion Clara Oswald in the long-running British science fiction series Doctor Who.
-
B.
Tamsin Greig
Tamsin Greig is an English actress known for her work in television, film, and theatre, including prominent roles in "Green Wing," "Episodes," and "Friday Night Dinner."
-
C.
Eve Myles
Eve Myles is a Welsh actress best known for her leading roles in the science fiction series "Torchwood" and the drama "Keeping Faith."
-
D.
Jessica Riley
Jessica Riley is a flirtatious and popular teenager who is one of the playable protagonists in the horror video game Until Dawn.
-
E.
Tessa Menzies
Tessa Menzies is a child of California politician and governor Gavin Newsom.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6583f0ec81909ebfc7a2c6351ff8 |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2ce36ce08190930e791e2837d1a5 |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 10, 2026, 1:10 a.m.