Triple
T22469260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie Pauline |
E555449
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Pauline |
—
|
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: Pauline | Statement: [Marie Pauline, hasComponent, Pauline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pauline Context triple: [Marie Pauline, hasComponent, Pauline]
-
A.
Pauline
chosen
Pauline is a feminine given name used in various languages, often considered the female form of Paul.
-
B.
Paula
Paula is a feminine given name used in many languages, derived from the Latin name Paulus meaning "small" or "humble."
-
C.
Paula
Paula is the custom audio and I/O coprocessor used in Commodore Amiga computers, responsible for sound generation and handling certain input/output functions.
-
D.
Berenice Syra
Berenice Syra was a Hellenistic princess of the Ptolemaic dynasty who became queen consort of the Seleucid Empire through her marriage to Antiochus II Theos.
-
E.
Mary Salome
Mary Salome is a Christian biblical figure traditionally venerated as one of the women who followed Jesus and witnessed his crucifixion and empty tomb.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15bdeae9c8190a5b66e540484db37 |
completed | April 29, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:48 p.m.