Triple
T24425710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Buchman |
E615849
|
entity |
| Predicate | settingOfLifeEvent |
P88418
|
FINISHED |
| Object | Connecticut (suburban family home) |
—
|
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: Connecticut (suburban family home) | Statement: [Rachel Buchman, settingOfLifeEvent, Connecticut (suburban family home)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfLifeEvent Context triple: [Rachel Buchman, settingOfLifeEvent, Connecticut (suburban family home)]
-
A.
settingOfLifeEvents
chosen
Indicates the location or environment in which significant life events of an entity take place.
-
B.
laterLifeEvent
Indicates that one event, condition, or action occurs during a later stage in an entity’s life relative to earlier life phases.
-
C.
notableEventInLife
Indicates that a particular event holds significant importance or impact within an entity’s life or personal history.
-
D.
partnerInLifeEvent
Indicates that two or more entities share a partnership or joint involvement in a specific life event or milestone.
-
E.
storySettingEvent
Indicates that an event takes place within, or helps define, the setting or background context of a story.
- 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_69e2d7eadb248190a867130fe45f0388 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f296a7406481908b85f3befc8feeee |
completed | April 29, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69f287cc4fd4819081e93cc638d9512d |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:15 a.m.