Triple
T18030554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erik-Michael Estrada |
E431376
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Erik-Michael |
—
|
NE NERFINISHED |
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: Erik-Michael | Statement: [Erik-Michael Estrada, givenName, Erik-Michael]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erik-Michael Context triple: [Erik-Michael Estrada, givenName, Erik-Michael]
-
A.
Erik
chosen
Erik is a masculine given name of Scandinavian origin that is widely used across various European countries.
-
B.
Erik Asla
Erik Asla is a Norwegian photographer known for his fashion and commercial work, as well as his former relationship with model Tyra Banks.
-
C.
Erik Darnell
Erik Darnell is an American stock car racing driver known for competing in NASCAR’s national series, including the Cup and Truck Series.
-
D.
Karl-Michael
Karl-Michael is a songwriter known for his work on the song "LaserLight."
-
E.
Erik Barmack
Erik Barmack is a film and television producer and former Netflix executive known for developing and overseeing international original content.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be35a70081909d24d36506d18131 |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 10, 2026, 10:25 a.m.