Triple
T23484461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Dong-hwi |
E570494
|
entity |
| Predicate | isInRelationshipSince |
P32390
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Lee Dong-hwi, isInRelationshipSince, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInRelationshipSince Context triple: [Lee Dong-hwi, isInRelationshipSince, 2015]
-
A.
relationshipStartYear
chosen
Indicates the calendar year in which a particular relationship between entities was initiated.
-
B.
marriageStartTime
Indicates the date and time at which a marriage between two entities officially begins.
-
C.
relationshipDurationWith
Indicates the length of time that a specified relationship between two entities has existed or is expected to last.
-
D.
spouseOfSince
Indicates that two individuals are spouses and specifies the date or time from which their marital relationship has been in effect.
-
E.
marriageDate
Indicates the specific date on which two entities entered into a marital relationship.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a752c678819087e5c50b8cf87d3d |
completed | April 29, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69f0620ac3608190b36916261ea50f54 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:03 p.m.