Triple
T18637575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catherine Oxenberg |
E455593
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object | Howard Oxenberg |
—
|
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: Howard Oxenberg | Statement: [Catherine Oxenberg, parent, Howard Oxenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howard Oxenberg Context triple: [Catherine Oxenberg, parent, Howard Oxenberg]
-
A.
Howard Oxenberg
chosen
Howard Oxenberg is an American dress manufacturer and businessman, best known as the father of actress Catherine Oxenberg.
-
B.
Howard Bilerman
Howard Bilerman is a Canadian drummer, audio engineer, and record producer best known for his work with Arcade Fire and numerous influential indie rock recordings.
-
C.
Max Ochs
Max Ochs is an American guitarist and folk musician known for his intricate fingerstyle playing and association with the 1960s American primitive guitar movement.
-
D.
Lewis Meltzer
Lewis Meltzer was an American screenwriter known for his work on mid-20th-century Hollywood films, including notable adaptations of literary works.
-
E.
Howard Zieff
Howard Zieff was an American film director and former commercial photographer best known for directing popular comedies such as "Private Benjamin" and "My Girl."
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc9fa6c81909e1b988bdfb5ebcc |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:47 a.m.