Triple
T14619077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darren |
E343168
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Darrin |
E343168
|
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: Darrin | Statement: [Darren, hasVariant, Darrin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darrin Context triple: [Darren, hasVariant, Darrin]
-
A.
Darren
chosen
Darren is a masculine given name commonly used in English-speaking countries.
-
B.
Darren
Darren is a fictional continent located on the planet Skaro in the Doctor Who universe.
-
C.
Derrel
Derrel is the given first name of former Major League Baseball shortstop and manager Bud Harrelson.
-
D.
Joshua Dunbar
Joshua Dunbar was the formerly enslaved Civil War veteran whose life and experiences significantly influenced the poetry and perspective of his son, Paul Laurence Dunbar.
-
E.
Darrell
Darrell is the central protagonist of the film "In the Mix," around whom the story’s main events and conflicts revolve.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46550e48190af45f426f02579bb |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda924c7308190931c03fbac57b0bf |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:25 a.m.