Triple
T13234180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Catlin |
E315100
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Catlin |
E1023091
|
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: Catlin | Statement: [George Catlin, familyName, Catlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catlin Context triple: [George Catlin, familyName, Catlin]
-
A.
Catlin
chosen
Catlin is a given name most notably borne by American actress and acting coach Catlin Adams.
-
B.
Cabella
Cabella is a French surname most notably borne by professional footballer Rémy Cabella.
-
C.
Whydah
Whydah was a prominent West African coastal port city that became a major center for the Atlantic slave trade during the era of the Kingdom of Dahomey.
-
D.
Shanly
Shanly is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
-
E.
Healy
Healy is an Irish surname commonly associated with notable figures in politics, entertainment, and sports.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d36bdf8819099949b1e0e6902d3 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2dca2c81909cab1aa868ad575d |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:22 p.m.