Triple
T37933978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaston, Count of Eu |
E946294
|
entity |
| Predicate | spouseHeirStatus |
P191405
|
FINISHED |
| Object | heir to the Brazilian throne |
—
|
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: heir to the Brazilian throne | Statement: [Gaston, Count of Eu, spouseHeirStatus, heir to the Brazilian throne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseHeirStatus Context triple: [Gaston, Count of Eu, spouseHeirStatus, heir to the Brazilian throne]
-
A.
spouseStatus
Indicates the marital relationship status between two individuals, such as whether they are currently spouses, formerly spouses, or not married to each other.
-
B.
spouseType
Indicates the specific role or category of a person within a spousal relationship (e.g., husband, wife, partner).
-
C.
socialStatusOfSpouse
chosen
Indicates the social status or rank held by a person's spouse within a given social or cultural context.
-
D.
spouseStatusAfterDeath
Indicates the marital status or spousal relationship of a person after the death of their spouse.
-
E.
spouseClaimStatus
Indicates whether and how one person asserts or is recognized as being the spouse of another, such as claimed, unclaimed, or disputed marital status.
- 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_69f76ef3b7248190892fb9706423be7c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fec5c503808190bde0b1829ea43071 |
completed | May 9, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69fec535dd6c8190a6ab85201f5a04a9 |
completed | May 9, 2026, 5:25 a.m. |
Created at: May 3, 2026, 4:20 p.m.