Triple
T14097164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judith’s maidservant |
E339280
|
entity |
| Predicate | hasNoProperName |
P67911
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Judith’s maidservant, hasNoProperName, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoProperName Context triple: [Judith’s maidservant, hasNoProperName, true]
-
A.
hasProperName
Indicates that an entity is associated with a specific proper name used to uniquely identify it.
-
B.
hasNameGivenTo
Indicates that one entity is the name that has been assigned or given to another entity.
-
C.
notNamedAfter
Indicates that one entity is explicitly not named in honor of, or derived from the name of, another entity.
-
D.
hasUnknownGivenName
chosen
Indicates that the given (first) name of the entity is not known or not specified.
-
E.
hasGivenNameBasis
Indicates that one entity’s given name is derived from, based on, or formed using another entity (such as a name, word, or person) as its basis.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fb926288190a7f0f50d1d585d76 |
completed | April 14, 2026, 3:39 p.m. |
| PD | Predicate disambiguation | batch_69de05b2f7e481908a9a7d40153234c0 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:22 p.m.