Triple
T26519195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Pevensie |
E669904
|
entity |
| Predicate | reignDurationInNarnia |
P22408
|
FINISHED |
| Object | about fifteen years |
—
|
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: about fifteen years | Statement: [Susan Pevensie, reignDurationInNarnia, about fifteen years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reignDurationInNarnia Context triple: [Susan Pevensie, reignDurationInNarnia, about fifteen years]
-
A.
reignDuration
chosen
Indicates the length of time during which an entity held ruling or governing authority over a domain or group.
-
B.
reignLengthsType
Indicates the type or categorization of the duration of a reign (e.g., how a reign’s length is classified).
-
C.
numberOfGenerationsPromisedOnThrone
Indicates the specified count of successive generations that are assured or guaranteed to occupy or retain a particular throne.
-
D.
reignDurationNickname
Indicates the commonly used nickname or epithet associated with the duration or length of an entity’s reign.
-
E.
possibleReignPeriod
Indicates a time interval during which an entity could have held ruling authority, without asserting that it definitively did so.
- 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_69eeb31b6dcc8190b30632dc3928a0c0 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 1:26 a.m.