Triple
T12138200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Publius Claudius Pulcher |
E289114
|
entity |
| Predicate | reportedQuote |
P48133
|
FINISHED |
| Object | "If they will not eat, let them drink" |
—
|
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: "If they will not eat, let them drink" | Statement: [Publius Claudius Pulcher, reportedQuote, "If they will not eat, let them drink"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reportedQuote Context triple: [Publius Claudius Pulcher, reportedQuote, "If they will not eat, let them drink"]
-
A.
quotedOn
chosen
Indicates that one entity is cited, referenced, or mentioned within another source, document, or context.
-
B.
reportedAs
Indicates that one entity has been formally reported or flagged to another entity, typically as problematic, suspicious, or noteworthy.
-
C.
reportedOn
Indicates that one entity has provided an account, description, or coverage of another entity, typically as news, documentation, or an official report.
-
D.
quoteProvision
Indicates that one entity supplies or presents a quotation or price estimate to another entity.
-
E.
quotedAgainst
Indicates that one entity is cited or quoted in opposition to, or as evidence against, another entity.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.