Triple
T35828810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sloane Caldwell |
E1035733
|
entity |
| Predicate | settingOfFamily |
P193908
|
FINISHED |
| Object | Pittsburgh, Pennsylvania |
—
|
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: Pittsburgh, Pennsylvania | Statement: [Sloane Caldwell, settingOfFamily, Pittsburgh, Pennsylvania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfFamily Context triple: [Sloane Caldwell, settingOfFamily, Pittsburgh, Pennsylvania]
-
A.
familyUsage
Indicates how something is used, shared, or applied within a family context or among family members.
-
B.
familyAspect
Indicates a relationship where one entity is characterized by a particular familial role, status, or aspect in relation to another entity.
-
C.
familyRule
Indicates a rule, norm, or guideline that governs relationships or behavior within a family context.
-
D.
familyGoal
Indicates a goal or objective that pertains to, benefits, or is shared by a family unit.
-
E.
familyAlignment
Indicates that two or more entities share a common familial stance, loyalty, or side within a family-related context or conflict.
- 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_69f76e192a94819082db360cb91e6a8d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
| PDg | Predicate description generation | batch_69fd592cc56081908ce456114d407616 |
completed | May 8, 2026, 3:31 a.m. |
Created at: May 3, 2026, 4:06 p.m.