Triple
T1536396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Lady of California |
E32558
|
entity |
| Predicate | nonOfficialStatus |
P4154
|
FINISHED |
| Object | informal and traditional |
—
|
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: informal and traditional | Statement: [Second Lady of California, nonOfficialStatus, informal and traditional]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonOfficialStatus Context triple: [Second Lady of California, nonOfficialStatus, informal and traditional]
-
A.
notOfficialNameOf
Indicates that a given name or label is used for an entity but is not its official or formally recognized name.
-
B.
coOfficialStatusIn
Indicates that two or more entities share the same official status within a specified context, such as a jurisdiction, organization, or system.
-
C.
hasInformalStatus
chosen
Indicates that an entity holds a non-official, casual, or unofficial standing or role in relation to another entity.
-
D.
notOfficialStandingClaim
Indicates that the claim does not represent an official or formally recognized position or status.
-
E.
deFactoStatus
Indicates that one entity holds a role, position, or status in practice or by custom, even if it is not formally or legally recognized.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a915f323bc8190aa757142c225e0ae |
completed | March 5, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69a907b046448190be8ea4d7b20255f7 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.