Triple
T19393181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amy |
E485117
|
entity |
| Predicate | shortFormOf |
P43
|
FINISHED |
| Object | Amita |
E404316
|
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: Amita | Statement: [Amy, shortFormOf, Amita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amita Context triple: [Amy, shortFormOf, Amita]
-
A.
Amita
chosen
Amita is a skilled jeweler and member of the all-female heist crew in the film "Ocean's 8."
-
B.
Amida
Amida was the ancient name of the city now known as Diyarbakır, a historically significant fortified settlement in southeastern Anatolia.
-
C.
Sharada
Sharada is a Unicode block that encodes the historic Brahmic script once used for writing Sanskrit and Kashmiri in the northwestern regions of the Indian subcontinent.
-
D.
Sharada
Sharada is a revered Hindu goddess of learning, wisdom, and the arts, often associated with Saraswati and worshipped as the presiding deity of the Dvaraka Sharada Peetham.
-
E.
Sharada
Sharada is an acclaimed Indian film actress, primarily known for her work in Malayalam and Telugu cinema, who gained prominence in the 1960s–70s and is celebrated for her powerful, award-winning performances.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b468dd88190acd82b4ee33bd39b |
completed | April 20, 2026, 12:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a072b8951648190a7ea05504c3cd9c1 |
completed | May 15, 2026, 2:19 p.m. |
Created at: April 10, 2026, 1:36 p.m.