Triple
T16328669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pine Valley |
E396488
|
entity |
| Predicate | associatedCharacter |
P12208
|
FINISHED |
| Object | Angie Hubbard |
E395543
|
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: Angie Hubbard | Statement: [Pine Valley, associatedCharacter, Angie Hubbard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angie Hubbard Context triple: [Pine Valley, associatedCharacter, Angie Hubbard]
-
A.
Angie Hubbard
chosen
Angie Hubbard is a beloved fictional doctor and pioneering African-American female character from the soap opera "All My Children."
-
B.
Angie Green
Angie Green is known as the daughter of American politician and former U.S. Representative Gene Green.
-
C.
Angie Smith
Angie Smith is best known as the wife of former NFL wide receiver and sports analyst Steve Smith Sr.
-
D.
Angie Wilson
Angie Wilson is the main character of the comedy-drama TV series "Harlem," which follows her life and friendships as a young Black woman navigating love, career, and identity in New York City.
-
E.
Angie Boselli
Angie Boselli is known as the wife of former NFL offensive tackle and Hall of Famer Tony Boselli and is involved in various family and community activities.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4ddc5608190b24fe2e871691470 |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00261134108190812da262b424a476 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.