Triple
T14267690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greg Hirsch |
E353691
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Nicholas Braun |
E291249
|
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: Nicholas Braun | Statement: [Greg Hirsch, portrayedBy, Nicholas Braun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicholas Braun Context triple: [Greg Hirsch, portrayedBy, Nicholas Braun]
-
A.
Nicholas Braun
chosen
Nicholas Braun is an American actor best known for his Emmy-nominated portrayal of Cousin Greg Hirsch on the HBO series "Succession."
-
B.
Nicholas Brandt
Nicholas Brandt is a British photographer and filmmaker best known for his evocative black-and-white images of African wildlife and landscapes, often highlighting environmental destruction and conservation issues.
-
C.
Nicholas Hannen
Nicholas Hannen was a British stage and film actor known for his classical performances, including roles in mid-20th-century Shakespearean adaptations.
-
D.
Nicholas Wittman
Nicholas Wittman is an actor best known for his role in the television series "Mars."
-
E.
Nicholas D'Agosto
Nicholas D'Agosto is an American actor known for his roles in television series such as "Masters of Sex" and "Heroes," as well as films like "Final Destination 5."
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6358c2288190ac1fd26e688a605d |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c2e7ee081909a70c9d9b32b6ce5 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:09 a.m.