Triple
T2742379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gavan |
E60780
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Gavin |
E7397
|
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: Gavin | Statement: [Gavan, hasVariant, Gavin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gavin Context triple: [Gavan, hasVariant, Gavin]
-
A.
Gavin
chosen
Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
-
B.
Garrett
Garrett is a masculine given name of Old French and Germanic origin, commonly used in English-speaking countries.
-
C.
Aidan
Aidan is a masculine given name of Irish origin that has become popular in many English-speaking countries.
-
D.
Jeffrey
Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
-
E.
Owen
Owen is a common Welsh-origin surname borne by many people, including the renowned World War I poet Wilfred Owen.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb303898819098a7d192e29817f8 |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbcca19881908b2e2eb0478c3e45 |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:56 p.m.