Triple
T25712241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reginald de St. Leon |
E644763
|
entity |
| Predicate | lifeEffect |
P19730
|
FINISHED |
| Object | extended lifespan |
—
|
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: extended lifespan | Statement: [Reginald de St. Leon, lifeEffect, extended lifespan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lifeEffect Context triple: [Reginald de St. Leon, lifeEffect, extended lifespan]
-
A.
healthEffect
chosen
Indicates the impact or consequence that one entity has on the health or well-being of another.
-
B.
notableEffect
Indicates that one entity has a significant impact, consequence, or influence on another entity or situation.
-
C.
effectOnUser
Indicates how an action, event, or condition influences or impacts a user.
-
D.
damageEffect
Indicates that one entity causes harm, reduction, or deterioration to another entity or its properties.
-
E.
eventEffect
Indicates the resulting change, outcome, or consequence that one event has on another state, entity, or event.
- 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc163fe48190a2680fa21dee8838 |
completed | May 2, 2026, 1:28 p.m. |
| PD | Predicate disambiguation | batch_69f480824a1c81908a8a492eedbc2596 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 9:17 p.m.