Triple
T19209126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernández family |
E480310
|
entity |
| Predicate | nobleLineageStatus |
P52082
|
FINISHED |
| Object | lineage of the Spanish Old Regime |
—
|
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: lineage of the Spanish Old Regime | Statement: [Fernández family, nobleLineageStatus, lineage of the Spanish Old Regime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nobleLineageStatus Context triple: [Fernández family, nobleLineageStatus, lineage of the Spanish Old Regime]
-
A.
hasNobleStatus
chosen
Indicates that an entity possesses a recognized noble rank, title, or aristocratic status.
-
B.
hasNoble
Indicates that one entity possesses or is associated with a noble title, status, or noble individual.
-
C.
evaluatesAsNoble
Indicates that an entity is judged or classified as having noble status or qualities.
-
D.
nobleRankAbove
Indicates that one entity holds a higher noble rank or title in a hierarchy than another entity.
-
E.
hasRoyalStatus
Indicates that an entity possesses a recognized royal rank, title, or status within a monarchy or royal 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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5f9a000188190afb762ea24bc3deb |
completed | April 20, 2026, 10:02 a.m. |
| PD | Predicate disambiguation | batch_69e4dcf22b3c8190bee02e3af946e114 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:20 p.m.