Triple
T17960492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hashim Amla |
E449067
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Amla |
—
|
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: Amla | Statement: [Hashim Amla, familyName, Amla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amla Context triple: [Hashim Amla, familyName, Amla]
-
A.
Amla
chosen
Amla is the surname of Hashim Amla, a renowned South African cricketer celebrated for his prolific batting and elegant technique.
-
B.
Aonla
Aonla is a parliamentary constituency in Uttar Pradesh, India, known for its agricultural economy and political significance.
-
C.
Syzygium cumini
Syzygium cumini is a tropical evergreen tree native to the Indian subcontinent, valued for its dark purple edible fruits (jamun) and traditional medicinal uses.
-
D.
Malvan
Malvan is a coastal town in Maharashtra, India, known for its beaches, seafood cuisine, and historic Sindhudurg Fort.
-
E.
Mehsana
Mehsana is a prominent city in the Indian state of Gujarat, known for its dairy industry, oil and natural gas fields, and historical temples.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b131fa8481908cd756f350eb6359 |
completed | April 19, 2026, 10:40 a.m. |
Created at: April 10, 2026, 10:22 a.m.