Triple
T4744973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todd |
E105339
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Tod |
E105339
|
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: Tod | Statement: [Todd, hasVariant, Tod]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tod Context triple: [Todd, hasVariant, Tod]
-
A.
Todd
chosen
Todd is the maiden surname of Mary Todd Lincoln, the First Lady of the United States during Abraham Lincoln’s presidency.
-
B.
Toby
Toby is a central protagonist in Margaret Atwood’s dystopian MaddAddam trilogy, known for her resilience, survival skills, and complex moral perspective in a post-apocalyptic world.
-
C.
Toby
Toby is a masculine given name commonly used in English-speaking countries, often as a diminutive of Tobias.
-
D.
Toby
Toby is a young, kind-hearted but ultimately traumatized boy who becomes a pivotal figure in the dark revenge tale of the 2007 musical horror film "Sweeney Todd: The Demon Barber of Fleet Street."
-
E.
Tad
Tad is the affectionate nickname of Thomas "Tad" Lincoln, the youngest son of U.S. President Abraham Lincoln.
- 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_69bd43ef87a48190a5bc3600711aa032 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64aa72c0819082ede0f531d75e65 |
completed | March 20, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be3a37a77881909d32027f1ada99c5 |
completed | March 21, 2026, 6:27 a.m. |
Created at: March 20, 2026, 1:19 p.m.