Triple
T21147700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elle Tinkle |
E521102
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tinkle |
—
|
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: Tinkle | Statement: [Elle Tinkle, familyName, Tinkle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tinkle Context triple: [Elle Tinkle, familyName, Tinkle]
-
A.
Tinkle
chosen
Tinkle is a surname most prominently associated with Wayne Tinkle, an American college basketball coach and former player.
-
B.
Bunty
Bunty is a character from the animated film "Chicken Run," known as one of the hens in the flock alongside Ginger.
-
C.
Miju Mishmi
Miju Mishmi are an indigenous tribal community of the eastern Himalayas, primarily inhabiting parts of Arunachal Pradesh in India and adjacent regions of Tibet and Myanmar, known for their distinct language and cultural traditions.
-
D.
Tinkle Bells
Tinkle Bells was the original, later-changed title of the classic Christmas song "Silver Bells."
-
E.
Little Colaba
Little Colaba is a small island area off the southern tip of Mumbai, India, historically associated with the larger Colaba region.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723fe9da88190b65c370b1efcbb96 |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 2:58 p.m.