Triple
T19389607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Wells |
E485029
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Buddy Hobbs |
—
|
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: Buddy Hobbs | Statement: [Susan Wells, child, Buddy Hobbs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buddy Hobbs Context triple: [Susan Wells, child, Buddy Hobbs]
-
A.
Buddy Hobbs
chosen
Buddy Hobbs is the exuberant human raised by elves at the North Pole who travels to New York City to find his biological father in the Christmas comedy film "Elf."
-
B.
Billy Hobbs
Billy Hobbs was an American football player best known as a standout linebacker who played professionally in the early 1970s, including in the World Football League.
-
C.
Buddy Hankerson
Buddy Hankerson is a musician best known as a member of the 1980s R&B and funk band Change.
-
D.
Buddy Enright
Buddy Enright is a film producer best known for his work on the satirical comedy sequel "Borat Subsequent Moviefilm."
-
E.
Buddy Greene
Buddy Greene is an American gospel singer, songwriter, and harmonica virtuoso best known for co-writing the modern Christmas song "Mary, Did You Know?".
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b4328448190b6347c41265e820c |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 10, 2026, 1:36 p.m.