Triple
T14767736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beau Knapp |
E347042
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Beau Knapp |
E347042
|
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: Beau Knapp | Statement: [Beau Knapp, name, Beau Knapp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beau Knapp Context triple: [Beau Knapp, name, Beau Knapp]
-
A.
Beau Knapp
chosen
Beau Knapp is an American actor known for his intense supporting roles in films such as "Southpaw," "The Signal," and "The Nice Guys."
-
B.
Beau Wassermann
Beau Wassermann is the anxious, middle-aged protagonist of Ari Aster’s surreal horror-comedy film "Beau Is Afraid," whose odyssey through a nightmarish world explores themes of guilt, control, and maternal trauma.
-
C.
Brant Daugherty
Brant Daugherty is an American actor known for his roles in television series like "Pretty Little Liars" and films including the "Fifty Shades" franchise.
-
D.
Blaine Knight
Blaine Knight is an American professional baseball pitcher best known for starring at the University of Arkansas before being drafted by the Baltimore Orioles.
-
E.
Robby Keough
Robby Keough is a fictional military officer and disease-control specialist featured in the medical disaster film "Outbreak."
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81236f081908063bb4350b7b985 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cf86730819082cf3f502ec16a46 |
completed | May 8, 2026, 4:19 p.m. |
Created at: April 10, 2026, 1:30 a.m.