Triple
T32392670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margot Kerr |
E827715
|
entity |
| Predicate | sharesReligiousBackgroundWith |
P37062
|
FINISHED |
| Object | Steve Kerr |
—
|
NE NERFINISHED |
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: Steve Kerr | Statement: [Margot Kerr, sharesReligiousBackgroundWith, Steve Kerr]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesReligiousBackgroundWith Context triple: [Margot Kerr, sharesReligiousBackgroundWith, Steve Kerr]
-
A.
sharesReligionWith
chosen
Indicates that two entities follow or are associated with the same religion or religious tradition.
-
B.
religiousBackgroundOfCommunity
Indicates the religious tradition, affiliation, or belief system that characterizes or predominates within a particular community.
-
C.
hasReligiousOrigin
Indicates that something originates from, is derived from, or is fundamentally based on a religious tradition, belief system, or practice.
-
D.
associatedReligionText
Indicates that there is a textual work (such as a scripture or religious document) that is specifically associated with, or pertains to, a given religion.
-
E.
associatedReligiousFamily
Indicates a relationship where an entity is linked or connected to a particular religious family or tradition.
- 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_69f349184e7481909c6c54428cb9cf12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ff519b65f081909902ba83b775ef85 |
completed | May 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69ff506fccdc8190bd93269589040aed |
completed | May 9, 2026, 3:19 p.m. |
Created at: May 1, 2026, 12:52 a.m.