Triple
T13252413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristine Lilly |
E315564
|
entity |
| Predicate | nationalYears |
P109160
|
FINISHED |
| Object | 1987–2010 |
—
|
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: 1987–2010 | Statement: [Kristine Lilly, nationalYears, 1987–2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalYears Context triple: [Kristine Lilly, nationalYears, 1987–2010]
-
A.
nationalRankingHistorical
Indicates the historical position or level an entity held within a national ranking over time.
-
B.
nationalisationYear
Indicates the year in which an entity was taken into state ownership or control through nationalisation.
-
C.
movementYear
Indicates the year in which a movement, relocation, or transfer of an entity took place.
-
D.
ordinationYear
Indicates the year in which an individual was formally ordained to a religious office or role.
-
E.
yearDescribedAs
Indicates the specific year in which something was formally characterized, documented, or described.
- F. None of above. chosen
Provenance (4 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f60911081909fa346a054f76c9f |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:24 p.m.