Triple
T37963692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lisa Fonssagrives |
E947075
|
entity |
| Predicate | retirementActivity |
P125503
|
FINISHED |
| Object | sculpture |
—
|
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: sculpture | Statement: [Lisa Fonssagrives, retirementActivity, sculpture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retirementActivity Context triple: [Lisa Fonssagrives, retirementActivity, sculpture]
-
A.
spentLaterLifeAt
Indicates that an individual resided, worked, or was primarily based at a particular place during the later period of their life.
-
B.
typicalActivity
Indicates that an entity is commonly or characteristically engaged in a particular activity.
-
C.
retiredToPursue
chosen
Indicates that an entity voluntarily left a position, role, or career in order to actively follow or focus on another specific activity, goal, or interest.
-
D.
roleAfterRetirement
Indicates the position, function, or status an entity assumes after it has retired from its previous role or activity.
-
E.
retirementClub
Indicates that an entity is a club or organization specifically associated with retirement or retired individuals.
- 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_69f76ef7062c819091bfacb7e83aa1e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.