Triple
T12069469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DiDi Richards |
E287385
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | DiDi |
E287385
|
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: DiDi | Statement: [DiDi Richards, nickname, DiDi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DiDi Context triple: [DiDi Richards, nickname, DiDi]
-
A.
DiDi
DiDi is a major Chinese ride-hailing and mobility technology company that operates a platform for on-demand transportation and related services.
-
B.
DiDi
chosen
DiDi is an American professional basketball player known for her defensive prowess and collegiate success with the Baylor Lady Bears.
-
C.
Di
Di is a common shortened form of the given name Diana, often used as an affectionate nickname.
-
D.
DI
DI is the abbreviation for Defence Intelligence, the United Kingdom’s military intelligence organization responsible for providing strategic and operational intelligence to the government and armed forces.
-
E.
dih
dih is the ISO 639-3 code for Diegueño, a Yuman language traditionally spoken by the Kumeyaay people of southern California and northern Baja California.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90457fd488190b311ed69d2aebdf9 |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f65af0e88190ad32adb9ff76b01b |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.