Triple
T32064465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doug Harris |
E818835
|
entity |
| Predicate | needsBestMan |
P173176
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Doug Harris, needsBestMan, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: needsBestMan Context triple: [Doug Harris, needsBestMan, true]
-
A.
bestMan
Indicates that one person serves as the principal male attendant or supporter (the best man) for another person in a wedding ceremony.
-
B.
proposedBride
Indicates that one entity has been put forward or suggested as a potential bride for another entity.
-
C.
asksToMarry
Indicates that one entity proposes marriage to another, requesting that they become spouses.
-
D.
desiredMarriageWith
Indicates that one entity wishes to enter into a marital relationship with another entity.
-
E.
holdsBestFor
Indicates that one entity considers or maintains another entity as the most suitable or optimal choice for a particular purpose or context.
- 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_69f348fecc088190af1470afe5a969f0 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b4f85ea881908ce0bbddd9426e73 |
completed | May 3, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69f6b154b3dc819087115f5f63f7b00f |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b267b90c8190807208cadce5ae8d |
completed | May 3, 2026, 2:26 a.m. |
Created at: May 1, 2026, 12:22 a.m.