Triple
T37619642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | François |
E936028
|
entity |
| Predicate | nicknameForm |
P58262
|
FINISHED |
| Object | François |
—
|
NE NERFINISHED |
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: François | Statement: [François, nicknameForm, François]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknameForm Context triple: [François, nicknameForm, François]
-
A.
nicknameCategory
Indicates that one entity is a nickname and the other entity is the category or type that this nickname belongs to.
-
B.
nicknamePattern
chosen
Indicates that one entity serves as a nickname or informal name pattern for another entity.
-
C.
nickNameGivenBy
Indicates that one entity assigns or uses a particular nickname for another entity.
-
D.
nicknameExplained
Indicates that an entity’s nickname is clarified, justified, or given context by another piece of information.
-
E.
nicknameEmphasizes
Indicates that a nickname highlights or draws special attention to a particular characteristic, trait, or aspect of the entity it refers to.
- 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.