Triple
T2730808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saudi Arabian American |
E60307
|
entity |
| Predicate | ancestryDefinition |
P26561
|
FINISHED |
| Object | personOfSaudiArabianDescentInTheUnitedStates |
—
|
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: personOfSaudiArabianDescentInTheUnitedStates | Statement: [Saudi Arabian American, ancestryDefinition, personOfSaudiArabianDescentInTheUnitedStates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ancestryDefinition Context triple: [Saudi Arabian American, ancestryDefinition, personOfSaudiArabianDescentInTheUnitedStates]
-
A.
ancestralGroup
Indicates that one entity is a broader ancestral lineage, population, or group from which the other entity descends or originates.
-
B.
typicalAncestryDescription
chosen
Indicates the usual or most common ancestral background associated with an entity.
-
C.
plaintiffAncestry
Indicates that one entity is the plaintiff and stands in an ancestral or lineage-based relationship to another entity.
-
D.
foundingAncestor
Indicates that one entity is the original progenitor or earliest known ancestor from whom another entity or lineage descends.
-
E.
ancestorDescribedAs
Indicates that an ancestor is characterized or referred to using a particular description, label, or portrayal.
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaee29088190bc4c734e48995794 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd82586f88190a98f60d3247fe2d3 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.