Triple
T12997272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billy Porter |
E322072
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Billy Porter |
E322072
|
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: Billy Porter | Statement: [Billy Porter, name, Billy Porter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Billy Porter Context triple: [Billy Porter, name, Billy Porter]
-
A.
Billy Porter
chosen
Billy Porter is an American actor, singer, and fashion icon known for his Tony- and Emmy-winning performances and his groundbreaking, gender-fluid red carpet style.
-
B.
Leslie Odom Jr.
Leslie Odom Jr. is an American actor and singer best known for his Tony- and Grammy-winning performance as Aaron Burr in the Broadway musical "Hamilton."
-
C.
Taye Diggs
Taye Diggs is an American actor and singer known for his roles in Broadway musicals like "Rent" and films such as "How Stella Got Her Groove Back" and "The Best Man."
-
D.
Andrew Rannells
Andrew Rannells is an American actor and singer best known for his Tony-nominated Broadway work in shows like The Book of Mormon and his roles in television series such as Girls and Black Monday.
-
E.
Mahershala Ali
Mahershala Ali is an American actor acclaimed for his powerful performances in films and television, earning multiple Academy Awards and widespread recognition for his nuanced, character-driven roles.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7980288190a9fe629a8cc76a52 |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0fe9d608190b9d503f4da1fe0c0 |
completed | May 3, 2026, 3:29 a.m. |
Created at: April 9, 2026, 8:45 p.m.