Triple
T23514515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meg Cabot |
E574319
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cabot |
—
|
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: Cabot | Statement: [Meg Cabot, familyName, Cabot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cabot Context triple: [Meg Cabot, familyName, Cabot]
-
A.
Cabot
chosen
Cabot is a surname of English and French origin historically associated with notable explorers, merchants, and political figures.
-
B.
Cabot
Cabot is a rapidly growing suburban city in central Arkansas, known for its family-friendly community and proximity to Little Rock.
-
C.
Cabot Gal
Cabot Gal is a musical number featured in the stage production of "Newsies," likely performed by or associated with the character or group referenced in the song "Carry the Banner."
-
D.
La Perouse
La Perouse is a coastal suburb in Sydney, Australia, known for its beaches, historic sites, and views across Botany Bay.
-
E.
Dampier
Dampier is a coastal industrial town in Western Australia known as a major export port for iron ore and other minerals from the Pilbara region.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa80d9048190ab735dddd301feb4 |
completed | April 29, 2026, 6:51 a.m. |
Created at: April 17, 2026, 6:08 p.m.