Triple
T8381931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marg Helgenberger |
E197711
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Alan Rosenberg |
E639342
|
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: Alan Rosenberg | Statement: [Marg Helgenberger, spouse, Alan Rosenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Rosenberg Context triple: [Marg Helgenberger, spouse, Alan Rosenberg]
-
A.
Alan Rosenberg
chosen
Alan Rosenberg is an American actor known for his extensive work in film and television, including prominent roles in series like "L.A. Law" and "Civil Wars."
-
B.
William Rosenberg
William Rosenberg was an American entrepreneur best known for creating the coffee and doughnut chain that became Dunkin' Donuts.
-
C.
Alan Rubin
Alan Rubin was an American trumpeter best known for his work as a session musician and as a member of the original Saturday Night Live Band and The Blues Brothers.
-
D.
Daniel Melnick
Daniel Melnick was an American film and television producer known for overseeing influential movies such as “Network,” “All That Jazz,” and “Altered States.”
-
E.
Ali Weinberg
Ali Weinberg is an American journalist and television news producer known for her work covering politics for major U.S. news networks.
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80dc96048190887d7df8bce5c1fd |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d10fff477481908c95f371d03b2189 |
completed | April 4, 2026, 1:19 p.m. |
Created at: March 30, 2026, 6:02 p.m.