Triple
T1013938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On Her Majesty's Secret Service |
E21887
|
entity |
| Predicate | hasNumberInSeries |
P22578
|
FINISHED |
| Object | James Bond novel number 10 |
—
|
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: James Bond novel number 10 | Statement: [On Her Majesty's Secret Service, hasNumberInSeries, James Bond novel number 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberInSeries Context triple: [On Her Majesty's Secret Service, hasNumberInSeries, James Bond novel number 10]
-
A.
hasNumberInYear
Indicates that a specific number is associated with or occurs within a given year.
-
B.
isNumbered
chosen
Indicates that an entity has been assigned a specific number or position in an ordered sequence.
-
C.
hasOrdinalSeries
Indicates that one entity belongs to, or is positioned within, an ordered sequence or series relative to other entities.
-
D.
isSeriesOf
Indicates that one entity is a sequence or set of related items that collectively form a series associated with another entity.
-
E.
hasNumberCategory
Indicates that an entity is associated with a specific numerical classification or type.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7be907c8190b5c6ea89257755a7 |
completed | March 1, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69a4b72207c08190a3dbb2aa7acbbc71 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.