Triple
T9633167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Son of the United States |
E232854
|
entity |
| Predicate | isInformalEquivalentOf |
P6990
|
FINISHED |
| Object | presidential son |
—
|
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: presidential son | Statement: [First Son of the United States, isInformalEquivalentOf, presidential son]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInformalEquivalentOf Context triple: [First Son of the United States, isInformalEquivalentOf, presidential son]
-
A.
usedInformallyAlongside
Indicates that something is employed in an informal, non-standard way together with or in addition to something else.
-
B.
isLessFormalThan
Indicates that one entity has a lower level of formality or is more casual in style, tone, or usage compared to another entity.
-
C.
hasInformalUsage
Indicates that something is used in casual or non-standard contexts rather than in formal or official usage.
-
D.
isColloquialTerm
chosen
Indicates that one term is an informal or non-standard, colloquial way of referring to another term or concept.
-
E.
equivalentIn
Indicates that two entities are considered logically or functionally the same in meaning, status, or effect within a given context.
- 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_69ca848940cc8190b97cec654cb3bb4a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b28ce2c819086d3c6e4e6ea95a7 |
completed | April 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69ccd5acfa5c8190aaba3cf548723604 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:11 p.m.