Triple
T23207464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma Allan |
E580498
|
entity |
| Predicate | weddingScheduledOn |
P198
|
FINISHED |
| Object | same day as Liv Lerner's wedding |
—
|
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: same day as Liv Lerner's wedding | Statement: [Emma Allan, weddingScheduledOn, same day as Liv Lerner's wedding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weddingScheduledOn Context triple: [Emma Allan, weddingScheduledOn, same day as Liv Lerner's wedding]
-
A.
engagedOnDate
Indicates that two entities entered into an engagement or formal commitment on a specific calendar date.
-
B.
marriageDate
chosen
Indicates the specific date on which two entities entered into a marital relationship.
-
C.
engagementDate
Indicates the date on which two entities formally become engaged or committed to a relationship or agreement.
-
D.
marriageStartTime
Indicates the date and time at which a marriage between two entities officially begins.
-
E.
weddingMarchKey
Indicates the musical key in which a wedding march is composed, arranged, or performed.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907d8be08190a100d99efaff9964 |
completed | April 29, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:07 p.m.