Triple
T14286361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doctor Who series 3 |
E354185
|
entity |
| Predicate | specialNumberInProduction |
P94197
|
FINISHED |
| Object | Christmas special 2006 |
—
|
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: Christmas special 2006 | Statement: [Doctor Who series 3, specialNumberInProduction, Christmas special 2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: specialNumberInProduction Context triple: [Doctor Who series 3, specialNumberInProduction, Christmas special 2006]
-
A.
specialValue
Indicates that an entity possesses a distinguished or exceptional value compared to typical or default values in the given context.
-
B.
magicNumber
Indicates that an entity is a special constant or value with a particular, often hidden or predefined, significance within a system or context.
-
C.
hasNumberOfSpecials
chosen
Indicates that an entity is associated with a specific count of special items, features, or occurrences.
-
D.
specialEdition
Indicates that an item is a distinct, limited, or enhanced version of a standard release, often with unique features, packaging, or content.
-
E.
specialAppearance
Indicates that an entity makes a notable or exceptional appearance distinct from its usual or regular presence.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697ef40c8190bea37724b28c2e99 |
completed | April 14, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:11 a.m.