Triple
T16168530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buzz Cooper |
E392370
|
entity |
| Predicate | parentOf |
P120
|
FINISHED |
| Object | Lucy Cooper |
E1200378
|
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: Lucy Cooper | Statement: [Buzz Cooper, parentOf, Lucy Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucy Cooper Context triple: [Buzz Cooper, parentOf, Lucy Cooper]
-
A.
Lucy Cooper
chosen
Lucy Cooper is a fictional character from the long-running American soap opera "Guiding Light," portrayed as a member of the Cooper family.
-
B.
Lucy Cooper
Lucy Cooper is a film producer known for her work on the dark comedy-drama movie "Hesher."
-
C.
Lucy Osburn
Lucy Osburn was a pioneering English nurse and hospital reformer who helped establish modern nursing practices in Australia in the 19th century.
-
D.
Lucy Warriner
Lucy Warriner is the witty, sophisticated socialite at the center of the classic screwball comedy "The Awful Truth," known for her sharp banter and tumultuous romantic entanglements.
-
E.
Lucy Wyman
Lucy Wyman is a key character in the romantic comedy film "13 Going on 30," serving as the adult version of Jenna Rink’s former best friend turned rival in the fashion magazine world.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb4ea9c81908806f9771ae80148 |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ec9ab2c819098d96dae98f78f50 |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:02 a.m.