Triple
T26292132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philipp von Jolly |
E661303
|
entity |
| Predicate | saidToHaveMade |
P160210
|
FINISHED |
| Object | precise measurements of gravitational acceleration |
—
|
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: precise measurements of gravitational acceleration | Statement: [Philipp von Jolly, saidToHaveMade, precise measurements of gravitational acceleration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: saidToHaveMade Context triple: [Philipp von Jolly, saidToHaveMade, precise measurements of gravitational acceleration]
-
A.
hasMade
Indicates that an entity has created, produced, or brought about another entity or outcome.
-
B.
saidBy
Indicates that a particular statement, quote, or utterance was spoken or produced by a specific entity.
-
C.
madeHim
Indicates that one entity caused or compelled a male entity to do, become, or experience something.
-
D.
hadOrgan
Indicates that an entity previously possessed or contained a specific organ as part of its body.
-
E.
hasHad
Indicates that an entity previously experienced, possessed, or was involved in something at some point in the past.
- 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_69ee812bbd448190be4d7478b057990a |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60eaaac4c8190bcd347bdbe78917e |
completed | May 2, 2026, 2:48 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f5ffc6268c8190b63f6360ebadab73 |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 26, 2026, 10:09 p.m.