Triple
T14294716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last of the Time Lords |
E354407
|
entity |
| Predicate | featuresLocation |
P7690
|
FINISHED |
| Object | the Valiant |
E354199
|
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: the Valiant | Statement: [Last of the Time Lords, featuresLocation, the Valiant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the Valiant Context triple: [Last of the Time Lords, featuresLocation, the Valiant]
-
A.
The Valiant
chosen
The Valiant is a massive airborne aircraft carrier and command ship used by UNIT in the Doctor Who television series.
-
B.
Valiant
Valiant is the surname of Leslie Valiant, a prominent computer scientist known for his foundational work in computational learning theory and complexity theory.
-
C.
Valiant
Valiant is the knight-themed mascot representing Manhattanville College’s athletic teams.
-
D.
Valiant & Valiant
Valiant & Valiant is a private detective agency in the film "Who Framed Roger Rabbit," co-founded and run by Eddie Valiant and his brother.
-
E.
The Valiant Years
The Valiant Years is a historical television documentary series that chronicles Winston Churchill’s leadership and key events of World War II.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717b35ec81908968994e65737c66 |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c34d038819097b441c943ea5063 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:11 a.m.