Triple
T3660011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Age of Steel |
E77624
|
entity |
| Predicate | features |
P997
|
FINISHED |
| Object | Parallel Pete Tyler |
E309901
|
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: Parallel Pete Tyler | Statement: [The Age of Steel, features, Parallel Pete Tyler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parallel Pete Tyler Context triple: [The Age of Steel, features, Parallel Pete Tyler]
-
A.
Pete Tyler
chosen
Pete Tyler is a recurring character in the British science fiction series Doctor Who, known as Rose Tyler’s father and for his pivotal role in alternate-universe storylines involving the Cybermen.
-
B.
Peter Good
Peter Good is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Good.
-
C.
Pete
Pete is the nickname of Grover Cleveland Alexander, a Hall of Fame Major League Baseball pitcher and one of the greatest hurlers of the early 20th century.
-
D.
Pete
Pete is a common masculine given name, typically used as a familiar or informal form of the name Peter.
-
E.
Pete
Pete is a classic Disney cartoon villain, best known as Mickey Mouse’s burly, antagonistic foe in the Mickey Mouse franchise.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d5e5f881909c7c105827d41071 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48844a380819084c4627a95b4cb3c |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:25 p.m.