Triple
T37524099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robbinsen |
E932861
|
entity |
| Predicate | isBasedOnDiminutiveOf |
P456
|
FINISHED |
| Object | Robert |
—
|
NE NERFINISHED |
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: Robert | Statement: [Robbinsen, isBasedOnDiminutiveOf, Robert]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBasedOnDiminutiveOf Context triple: [Robbinsen, isBasedOnDiminutiveOf, Robert]
-
A.
hasDiminutive
chosen
Indicates that one entity is a diminutive form or smaller/affectionate variant of another entity.
-
B.
isBasedOn
Indicates that one entity is derived from, inspired by, or developed using the content, structure, or principles of another entity.
-
C.
isReducedFormOf
Indicates that one entity is a simplified or more compact version derived from another entity while preserving its essential meaning or structure.
-
D.
basisOfEpithet
Indicates that one entity serves as the reason or source for an epithet or descriptive name applied to another entity.
-
E.
isLesserKnownFormOf
Indicates that one entity is a less widely recognized or less commonly used variant, version, or form of another entity.
- 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_69f76ec8862c8190bfa24145f5480642 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:17 p.m.