Triple
T16168336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harley Cooper |
E392366
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Harley Davidson Cooper |
E392366
|
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: Harley Davidson Cooper | Statement: [Harley Cooper, alsoKnownAs, Harley Davidson Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harley Davidson Cooper Context triple: [Harley Cooper, alsoKnownAs, Harley Davidson Cooper]
-
A.
Harley Cooper
chosen
Harley Cooper is a popular fictional character from the long-running American soap opera "Guiding Light," known for her complex relationships and dramatic storylines.
-
B.
Ben Cooper
Ben Cooper was an American film and television actor best known for his roles in 1950s Westerns and classic Hollywood productions.
-
C.
Bruce Cooper
Bruce Cooper is a fashion industry professional best known as the founder of the international modeling agency Wilhelmina Models.
-
D.
Bruce Cooper
Bruce Cooper is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
-
E.
Jacques Cooper
Jacques Cooper is a French industrial designer best known for creating the iconic TGV high-speed train.
- 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_69fff7bb6aac8190a33607abfe9a32d0 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:02 a.m.