Triple
T14244136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Petrie |
E353086
|
entity |
| Predicate | hasLastName |
P18
|
FINISHED |
| Object | Petrie |
E376764
|
NE 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: Petrie | Statement: [Laura Petrie, hasLastName, Petrie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Petrie Context triple: [Laura Petrie, hasLastName, Petrie]
-
A.
Petrie
chosen
Petrie is a surname most notably associated with Geoff Petrie, a former American professional basketball player and executive.
-
B.
Pinchbeck
Pinchbeck is a village and civil parish in the South Holland district of Lincolnshire, England, known for its agricultural surroundings and proximity to the town of Spalding.
-
C.
Elspie
Elspie is a feminine given name, typically considered a Scottish or diminutive variant of the name Elsie.
-
D.
Polton
Polton is a small village in Midlothian, Scotland, situated near the River North Esk and historically associated with paper milling.
-
E.
Shadbolt
Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6245d6a481909ef665748cd4d64c |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd282571ec819080d187ecec3ed925 |
completed | May 8, 2026, 12:02 a.m. |
Created at: April 10, 2026, 1:08 a.m.