Triple
T26385140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harper Stewart |
E663256
|
entity |
| Predicate | weddingContext |
P110874
|
FINISHED |
| Object | best man at Lance and Mia'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: best man at Lance and Mia's wedding | Statement: [Harper Stewart, weddingContext, best man at Lance and Mia's wedding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weddingContext Context triple: [Harper Stewart, weddingContext, best man at Lance and Mia's wedding]
-
A.
marriageContext
Indicates the situational or cultural circumstances under which a marriage occurs or exists, such as legal, social, or religious conditions surrounding the marital relationship.
-
B.
weddingDescribedAs
Indicates that a particular wedding is characterized or portrayed using a specific description or label.
-
C.
associatedWithWeddingOf
chosen
Indicates a relationship where something is connected or related to the wedding event of specific individuals.
-
D.
weddingStatus
Indicates the current state or condition of an entity’s marriage or wedding (e.g., single, engaged, married, divorced).
-
E.
bride
Indicates that an entity is a woman who is getting married or has just been married in relation to a wedding event or spouse.
- 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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f610784f7481908cc17baeac8a23e4 |
completed | May 2, 2026, 2:55 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 11:21 p.m.