Triple
T34097395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sophia Laurent Abraham |
E874467
|
entity |
| Predicate | hasPublicFigureStatusSince |
P82912
|
FINISHED |
| Object | childhood |
—
|
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: childhood | Statement: [Sophia Laurent Abraham, hasPublicFigureStatusSince, childhood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicFigureStatusSince Context triple: [Sophia Laurent Abraham, hasPublicFigureStatusSince, childhood]
-
A.
hasPublicFigure
Indicates that an entity is associated with or characterized by a specific public figure, such as a celebrity, politician, or other widely recognized individual.
-
B.
isPublicFigure
Indicates that the person holds a prominent, widely recognized role in society and is subject to increased public attention or scrutiny.
-
C.
publicFigureSince
chosen
Indicates the point in time since which an entity has been recognized or treated as a public figure.
-
D.
hasPublicAppearancesWith
Indicates that two entities have appeared together in public settings or events.
-
E.
hasPublicFigureFounder
Indicates that an entity was founded by a person who is recognized as a public figure.
- 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_69f349a735208190a1dbfb1c2a121059 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 1, 2026, 1:53 a.m.