Triple
T17770175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimberly Anne Scott |
E443612
|
entity |
| Predicate | hasMarriagePeriod |
P78262
|
FINISHED |
| Object | married to Eminem from 1999 to 2001 |
—
|
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: married to Eminem from 1999 to 2001 | Statement: [Kimberly Anne Scott, hasMarriagePeriod, married to Eminem from 1999 to 2001]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarriagePeriod Context triple: [Kimberly Anne Scott, hasMarriagePeriod, married to Eminem from 1999 to 2001]
-
A.
maritalPeriodWith
chosen
Indicates the time span during which two entities were married to each other.
-
B.
marriageDuration
Indicates the length of time that a marriage relationship has existed between two spouses.
-
C.
hasMarriage
Indicates a marital relationship exists between the two entities, specifying that they are or were legally married to each other.
-
D.
marriageStartTime
Indicates the date and time at which a marriage between two entities officially begins.
-
E.
marriagePeriodRelative
Indicates the time span of a marriage expressed relative to some reference point or period rather than as absolute dates.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485ff928481909fe32260ba57978f |
completed | April 19, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:11 a.m.