Triple
T23575387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Society of Mary |
E580239
|
entity |
| Predicate | founderBeatifiedInYear |
P153233
|
FINISHED |
| Object | 2000 |
—
|
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: 2000 | Statement: [Society of Mary, founderBeatifiedInYear, 2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: founderBeatifiedInYear Context triple: [Society of Mary, founderBeatifiedInYear, 2000]
-
A.
founderBirthYear
Indicates the year in which the founder of an entity was born.
-
B.
wasFoundedBy
Indicates that an organization, institution, or entity came into existence through the initiating action or establishment by a specific founder or founding group.
-
C.
founderKnownFor
Indicates that a founder is particularly recognized or notable for a specific work, achievement, product, or contribution.
-
D.
founderBirthPlace
Indicates the place where the founder of an entity was born.
-
E.
founderAlsoKnownAs
Indicates that an individual who is a founder of something is also known by an alternative name or alias.
- 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_69e24601a9108190bc31e83833c980e4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1afd5a7e88190ba348d58e552bd3c |
completed | April 29, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f12760784c8190aaeff002ef31febe |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 17, 2026, 6:38 p.m.