Triple
T14476119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne-Elisabeth |
E358976
|
entity |
| Predicate | isWrittenWithHyphen |
P64072
|
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: [Anne-Elisabeth, isWrittenWithHyphen, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWrittenWithHyphen Context triple: [Anne-Elisabeth, isWrittenWithHyphen, true]
-
A.
hasHyphenation
chosen
Indicates that one entity specifies or provides the hyphenated form or hyphenation pattern of another entity.
-
B.
isWrittenWithApostrophe
Indicates that something (typically a word, phrase, or name) is written using an apostrophe character as part of its spelling or punctuation.
-
C.
isWrittenWithSpace
Indicates that something is written or represented with spaces separating its components or elements.
-
D.
isWrittenWithoutSpace
Indicates that the referenced elements are written together as a single contiguous string, with no spaces between them.
-
E.
isWrittenWith
Indicates that something is created or expressed using a particular writing tool, medium, or system.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91fc1fc48190842b09aa03ba79f8 |
completed | April 14, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69de5c42bd3c81909a62acf30cc24d1e |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.