Triple
T17336938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tibbetts (surname) |
E420963
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Tibbitts (surname) |
E420963
|
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: Tibbitts (surname) | Statement: [Tibbetts (surname), hasVariant, Tibbitts (surname)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tibbitts (surname) Context triple: [Tibbetts (surname), hasVariant, Tibbitts (surname)]
-
A.
Tibbits (surname)
Tibbits is an English-language surname, often considered a variant of Tibbets or Tibbitts, borne by various individuals of British and American origin.
-
B.
Tibbetts (surname)
chosen
Tibbetts is an English-language surname, often considered a variant of Tibbets or Tibbitts, borne by various notable individuals.
-
C.
Tibbetts
Tibbetts is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
-
D.
Tibbits
Tibbits is an English-language surname borne by various notable individuals across different fields.
-
E.
Tibbett
Tibbett is a surname of English origin borne by various notable individuals in fields such as music, sports, 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a12e1288190a81c30d6e1e9652f |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c5474788190936840effee2a8f5 |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:43 a.m.