Triple
T9130993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letitia Wright |
E219084
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wright |
E320328
|
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: Wright | Statement: [Letitia Wright, familyName, Wright]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wright Context triple: [Letitia Wright, familyName, Wright]
-
A.
Wright
Wright is the surname of Tré Cool, the German-born American drummer best known for his work with the punk rock band Green Day.
-
B.
Wright
chosen
Wright is a common English surname borne by numerous notable individuals across politics, sports, arts, and science.
-
C.
Orville
Orville is the comically clumsy albatross who serves as the bumbling but brave air transport for the heroes in Disney’s animated film "The Rescuers."
-
D.
Orville
Orville is a masculine given name of English origin that has been borne by various notable figures, including scientists, inventors, and pioneers.
-
E.
Wright-Phillips
Wright-Phillips is a surname most prominently associated with the English footballing family that includes former professional striker Bradley Wright-Phillips.
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8ceea6c81909f368f12dac1649c |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d030aee3cc81908e883c0bc399fb96 |
completed | April 3, 2026, 9:27 p.m. |
Created at: March 30, 2026, 7:18 p.m.