Triple
T22396729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tobie |
E553652
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Tobi |
—
|
NE NERFINISHED |
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: Tobi | Statement: [Tobie, hasVariant, Tobi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tobi Context triple: [Tobie, hasVariant, Tobi]
-
A.
Tobi
chosen
Tobi is a given name, often used as a variant of Toby, that can be used for people of any gender in various cultures.
-
B.
Gaara
Gaara is a major character in the Naruto series, known as the sand-controlling jinchūriki of the One-Tailed Beast who evolves from a ruthless killer into a compassionate leader and Kazekage of Sunagakure.
-
C.
Tio
Tio is a coastal town in Eritrea’s Southern Red Sea Region, known historically as a small port on the Red Sea.
-
D.
Chōji
Chōji was a Japanese era (nengō) of the Heian period that followed Kannin and preceded Kajō, during the reign of Emperor Shirakawa.
-
E.
Nagato
Nagato is a coastal city in Japan’s Yamaguchi Prefecture known for its scenic seaside landscapes and hot spring resorts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585f67108190b8d3f23eaa0ed120 |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.