Triple
T19048816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry Clark |
E466205
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Clark |
—
|
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: Clark | Statement: [Larry Clark, familyName, Clark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clark Context triple: [Larry Clark, familyName, Clark]
-
A.
Clark
Clark is the middle name of Herbert Hoover, the 31st president of the United States.
-
B.
Clark
chosen
Clark is a common English-language surname borne by numerous notable individuals across fields such as literature, politics, science, and entertainment.
-
C.
Clark
Clark is a minor character in Bertolt Brecht's satirical play "The Resistible Rise of Arturo Ui," which allegorically depicts the rise of Adolf Hitler through the story of a Chicago gangster.
-
D.
Clark
Clark is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
-
E.
Clark
Clark is a major aviation and economic hub in the Philippines, centered around Clark International Airport and the surrounding Clark Freeport and Special Economic Zone in Pampanga.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d8062ea481908cf3fcb790a74956 |
completed | April 20, 2026, 7:38 a.m. |
Created at: April 10, 2026, 12:03 p.m.