Triple
T20125175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dav Pilkey |
E490731
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Dav |
—
|
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: Dav | Statement: [Dav Pilkey, nickname, Dav]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dav Context triple: [Dav Pilkey, nickname, Dav]
-
A.
Davys
Davys is a family surname shared by individuals such as John Davys.
-
B.
Dava
Dava is a feminine given name most notably borne by American science writer Dava Sobel.
-
C.
Davo
chosen
Davo is a common informal nickname or short form of the given name David, often used in English-speaking countries.
-
D.
Dar
Dar is a character from the 1935 French film "Princesse Tam-Tam," which starred Josephine Baker.
-
E.
Dar
Dar is the warrior protagonist and titular Beastmaster of the Beastmaster fantasy franchise, known for his ability to telepathically communicate with and command animals.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667412b888190b43f7dd1ccdbad01 |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:31 p.m.