Triple
T10365080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Live PD |
E244230
|
entity |
| Predicate | presenter |
P83
|
FINISHED |
| Object | Dan Abrams |
E388248
|
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: Dan Abrams | Statement: [Live PD, presenter, Dan Abrams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Abrams Context triple: [Live PD, presenter, Dan Abrams]
-
A.
Dan Abrams
chosen
Dan Abrams is an American television host, legal commentator, and media entrepreneur best known for his work on legal analysis programs and as the founder of the news site Mediaite.
-
B.
Aaron Abrams
Aaron Abrams is a Canadian actor and screenwriter known for his roles in film and television, including appearances in projects like the psychological horror series "Hannibal."
-
C.
Eric Abramson
Eric Abramson is a cinematographer best known for his work on the Academy Award–winning documentary film "The Cove."
-
D.
Douglas Abrams
Douglas Abrams is an American author, editor, and literary agent best known for co-authoring spiritually focused, conversational books with prominent religious leaders such as the Dalai Lama and Desmond Tutu.
-
E.
Chris Applebaum
Chris Applebaum is an American music video director known for creating high-profile videos for major pop and rock artists.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e964a53c8190b748e80850e96656 |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d750c8c7588190a31bac5b774155fe |
completed | April 9, 2026, 7:10 a.m. |
Created at: April 6, 2026, noon