Triple
T17062269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Davis (given name) |
E413989
|
entity |
| Predicate | isRelatedName |
P3889
|
FINISHED |
| Object | Dave (given name) |
E34737
|
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: Dave (given name) | Statement: [Davis (given name), isRelatedName, Dave (given name)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave (given name) Context triple: [Davis (given name), isRelatedName, Dave (given name)]
-
A.
Dave
"Dave" is a 1993 political comedy film about a presidential look-alike who unexpectedly finds himself acting as the President of the United States.
-
B.
Dave
chosen
Dave is a common masculine given name, often a shortened form of David, used widely in English-speaking countries.
-
C.
Davey
Davey is a diminutive given name, typically used as a familiar or affectionate form of David.
-
D.
Derek
Derek is a British comedy-drama television series created by Ricky Gervais, centered on a kind-hearted care home worker with learning difficulties.
-
E.
Derek
Derek is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7eb0808190ae1b0044e2b5cbd7 |
completed | April 18, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01234be4e4819084701902e7bd3a27 |
completed | May 11, 2026, 12:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.