Triple
T24518866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roxanne Purley |
E606458
|
entity |
| Predicate | firstMeetingWithMotherLocation |
P61227
|
FINISHED |
| Object | Cynthia Purley’s home |
—
|
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: Cynthia Purley’s home | Statement: [Roxanne Purley, firstMeetingWithMotherLocation, Cynthia Purley’s home]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMeetingWithMotherLocation Context triple: [Roxanne Purley, firstMeetingWithMotherLocation, Cynthia Purley’s home]
-
A.
firstMeetingPlace
chosen
Indicates the location where two or more entities met each other for the very first time.
-
B.
firstLocation
Indicates the initial or primary place where an entity is situated, originates, or where an event or relationship begins.
-
C.
position of mother
Indicates the spatial or locational relationship specifying where the mother is situated relative to a reference point or entity.
-
D.
residenceOfParentsAtTimeOfBirth
Indicates the place where a person's parents were living at the time of that person's birth.
-
E.
firstAppearsAtLocation
Indicates the initial location where an entity is first observed, introduced, or comes into existence within a given context or sequence.
- 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_69e2c4c85778819085f5da9af3569ad5 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:24 a.m.