Triple
T19284261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Doctor |
E482266
|
entity |
| Predicate | species |
P87
|
FINISHED |
| Object | Time Lord |
—
|
NE NERFINISHED |
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: Time Lord | Statement: [Second Doctor, species, Time Lord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Time Lord Context triple: [Second Doctor, species, Time Lord]
-
A.
Time Lord
chosen
A Time Lord is a fictional, time-traveling humanoid species from the planet Gallifrey in the Doctor Who universe, known for their ability to regenerate and their mastery of time and space.
-
B.
Master (Doctor Who)
The Master is a recurring villain in the Doctor Who universe, a renegade Time Lord and archenemy of the Doctor known for their cunning, ruthlessness, and shifting incarnations.
-
C.
The Doctor (Doctor Who)
The Doctor is the time-traveling, regenerating Time Lord protagonist of the long-running British science fiction series Doctor Who, known for defending the universe with wit, compassion, and ingenuity.
-
D.
Dr. Who
Dr. Who is a villainous mad scientist from the Toho kaiju film series, best known as the creator of the robotic monster Mechani-Kong.
-
E.
Time Lord Academy
Time Lord Academy is the elite Gallifreyan institution where Time Lords are educated and trained in temporal science, politics, and the laws of time.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc0099148190bfec8e8eadc72406 |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.