Triple
T3632627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dilsey Gibson |
E76991
|
entity |
| Predicate | attends |
P2636
|
FINISHED |
| Object | Easter church service |
—
|
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: Easter church service | Statement: [Dilsey Gibson, attends, Easter church service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attends Context triple: [Dilsey Gibson, attends, Easter church service]
-
A.
attendance
chosen
Indicates the relationship between an event and the people who are present at or participate in that event.
-
B.
anticipates
Indicates that one entity expects or predicts a future event, action, or state involving another entity before it actually occurs.
-
C.
attracts
Indicates that one entity exerts a force or influence that draws another entity toward it.
-
D.
attendedBy
Indicates that an event, place, or activity is participated in or visited by a particular person or group.
-
E.
takes
Indicates that one entity receives, accepts, or comes into possession of another entity.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc30251d881908284edeb7fe69ad8 |
completed | March 8, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69adb842be7c8190b7dfdb7c906f294c |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:23 p.m.