Triple
T14276960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Day of the Doctor |
E353940
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Nick Hurran |
E432605
|
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: Nick Hurran | Statement: [The Day of the Doctor, director, Nick Hurran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Hurran Context triple: [The Day of the Doctor, director, Nick Hurran]
-
A.
Nick Hurran
chosen
Nick Hurran is a British television and film director known for his work on series such as Doctor Who and Sherlock.
-
B.
Jeremy Stoppelman
Jeremy Stoppelman is an American entrepreneur best known as the co-founder and longtime CEO of Yelp, a popular online review platform for local businesses.
-
C.
Jon Shestack
Jon Shestack is an American film producer known for working on a range of studio and independent movies, including the romantic comedy-drama "Dan in Real Life."
-
D.
Nick Hurd
Nick Hurd is a British Conservative politician who served as a Member of Parliament and held several ministerial roles, particularly in areas such as civil society and policing.
-
E.
Jay Landsman
Jay Landsman is a Baltimore police sergeant and homicide supervisor best known as a character in the television series "The Wire," inspired by and partly portrayed by the real-life Baltimore detective of the same name.
- 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_69fe8bbd051c8190a89f9801a7b08b2d |
completed | May 9, 2026, 1:19 a.m. |
Created at: April 10, 2026, 1:10 a.m.