Triple
T11398719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O'Cullen |
E270048
|
entity |
| Predicate | meaningOfPrefix |
P27718
|
FINISHED |
| Object | descendant of |
—
|
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: descendant of | Statement: [O'Cullen, meaningOfPrefix, descendant of]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meaningOfPrefix Context triple: [O'Cullen, meaningOfPrefix, descendant of]
-
A.
hasPrefixMeaning
chosen
Indicates that one entity serves as a semantic prefix of another, contributing a specific meaning to the start of the second entity.
-
B.
namePrefix
Indicates that one entity is a prefix or leading part of another entity’s name.
-
C.
hasPrepositionalPrefix
Indicates that one entity functions as a prepositional prefix attached to or modifying another entity.
-
D.
letterMeaning
Indicates that a particular letter conveys a specific meaning, interpretation, or semantic content.
-
E.
centralFormulaMeaning
Indicates that one formula or expression represents the primary or core meaning within a larger logical, mathematical, or semantic structure.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d8001adc188190ae45227856156412 |
completed | April 9, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69d7e70b228c8190b87f5101fd683788 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:34 p.m.