Triple
T10332088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adrien Lachenal |
E242900
|
entity |
| Predicate | wasPresidentInYear |
P93737
|
FINISHED |
| Object | 1892 |
—
|
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: 1892 | Statement: [Adrien Lachenal, wasPresidentInYear, 1892]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasPresidentInYear Context triple: [Adrien Lachenal, wasPresidentInYear, 1892]
-
A.
APA_PresidencyYear
Indicates the specific year during which an individual held the presidency of the American Psychological Association.
-
B.
USPresidentAtTime
Indicates that a person holds the office of President of the United States during a specified time period.
-
C.
electedPresidentBirthYear
Indicates the year in which the person who was elected president was born.
-
D.
hasPresident
Indicates that an entity holds the position or role of president for another entity.
-
E.
builtDuringPresidencyOf
Indicates that the construction of something occurred while a specified person was serving as president.
- 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_69d381af787481908bc401325c760a88 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e91fdb2081909866c6ecf417d75a |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4df9dc3208190bf1bd106f44f6202 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 11:52 a.m.