Triple
T14369078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dalek Empire |
E356310
|
entity |
| Predicate | firstAppearanceInUniverse |
P86558
|
FINISHED |
| Object | era of early Skaro wars |
—
|
LITERAL 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: era of early Skaro wars | Statement: [Dalek Empire, firstAppearanceInUniverse, era of early Skaro wars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAppearanceInUniverse Context triple: [Dalek Empire, firstAppearanceInUniverse, era of early Skaro wars]
-
A.
firstAppearanceUniverse
chosen
Indicates the universe or continuity in which an entity makes its first recorded appearance.
-
B.
firstComicsAppearanceUniverse
Indicates the universe in which a character or entity made its first appearance in comic books.
-
C.
firstAppearanceFranchise
Indicates the franchise in which an entity made its first appearance.
-
D.
firstAppearanceFor
Indicates that an entity marks the initial occurrence or debut of another entity within a given context or medium.
-
E.
firstAppearanceApprox
Indicates that one entity is the approximate or estimated first appearance of another entity in time or context.
- F. None of above.
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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fb0b8988190ab834a85911c015c |
completed | April 14, 2026, 7:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:15 a.m.