Triple
T22212726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charley Shipp |
E548994
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Shipp |
—
|
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: Shipp | Statement: [Charley Shipp, familyName, Shipp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shipp Context triple: [Charley Shipp, familyName, Shipp]
-
A.
Shipp
chosen
Shipp is the surname of American actress and singer Alexandra Shipp, known for roles in films such as "X-Men: Apocalypse" and "Love, Simon."
-
B.
Shiprow
Shiprow is a historic street in Aberdeen, Scotland, known for its maritime heritage and preserved architecture.
-
C.
Shippen
Shippen is the surname of Peggy Shippen, a prominent Loyalist figure best known as the wife and co-conspirator of American Revolutionary War traitor Benedict Arnold.
-
D.
Blankenship
Blankenship is an English-language surname of likely British origin, borne by various notable individuals across fields such as politics, sports, and the arts.
-
E.
The Ships
"The Ships" is the English meaning of the Greek title "As Naus," likely referring to a work centered on maritime themes or vessels.
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b2d607c81909511761b5563ddee |
completed | April 28, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:36 p.m.