Triple
T21536308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edith Barrett |
E531357
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Barrett |
E199811
|
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: Barrett | Statement: [Edith Barrett, familyName, Barrett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barrett Context triple: [Edith Barrett, familyName, Barrett]
-
A.
Barrett
chosen
Barrett is a common English and Irish surname borne by numerous notable individuals across politics, law, sports, and the arts.
-
B.
Barret
Barret is the middle name of William B. Travis, the 19th-century American lawyer and commander who became a key figure in the Battle of the Alamo during the Texas Revolution.
-
C.
Barrettali
Barrettali is a small commune on the Cap Corse peninsula in Haute-Corse, Corsica, known for its rugged coastal landscape and traditional Mediterranean village character.
-
D.
Barret Zoph
Barret Zoph is a machine learning researcher known for his work on neural architecture search and contributions to deep learning at Google Brain.
-
E.
Barnett
Barnett is an English-language surname of Norman origin that has been borne by various notable figures in fields such as politics, academia, and the arts.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0e5a9c8190894ec3666d3296aa |
completed | April 26, 2026, 11:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09e8339c04819092968f7a7baba3f8 |
completed | May 17, 2026, 4:09 p.m. |
Created at: April 16, 2026, 6:27 p.m.