Triple
T2351136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pugh |
E47450
|
entity |
| Predicate | derivedFrom |
P909
|
FINISHED |
| Object | ap Hugh |
E20500
|
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: ap Hugh | Statement: [Pugh, derivedFrom, ap Hugh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ap Hugh Context triple: [Pugh, derivedFrom, ap Hugh]
-
A.
Hugh
chosen
Hugh is a masculine given name of Germanic origin, commonly used in English-speaking countries.
-
B.
Hughie
Hughie is a diminutive or affectionate form of the given name Hugh, often used as a nickname.
-
C.
Duncan
Duncan is a character in Margaret Atwood's novel "The Edible Woman," serving as an eccentric and introspective figure who reflects the protagonist's psychological turmoil.
-
D.
Duncan
Duncan is a small city on southern Vancouver Island in British Columbia, Canada, known for its many totem poles and rich Indigenous heritage.
-
E.
Mark Hogancamp
Mark Hogancamp is an American artist and photographer known for creating an elaborate miniature World War II-era town as a form of self-therapy after surviving a brutal assault, a story depicted in the film "Welcome to Marwen."
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6f75d888190a2e41edaa532e83f |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae962f769881909a7713880eaa9b84 |
completed | March 9, 2026, 9:43 a.m. |
Created at: March 4, 2026, 7:54 p.m.