Triple
T19593131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frequency |
E470285
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Noah Emmerich |
—
|
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: Noah Emmerich | Statement: [Frequency, starring, Noah Emmerich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noah Emmerich Context triple: [Frequency, starring, Noah Emmerich]
-
A.
Noah Emmerich
chosen
Noah Emmerich is an American actor known for his character roles in film and television, particularly his acclaimed performance as FBI agent Stan Beeman in the series "The Americans."
-
B.
Noah Hathaway
Noah Hathaway is an American actor best known for his role as the young warrior Atreyu in the fantasy film "The NeverEnding Story" (1984).
-
C.
Noah Chittenden
Noah Chittenden was an American politician from Vermont, known for serving in the early state government and for being the son of Vermont’s first governor, Thomas Chittenden.
-
D.
Noah Cross
Noah Cross is a powerful and corrupt land baron who serves as the primary antagonist in the film "Chinatown."
-
E.
Noah Timmins
Noah Timmins was a prominent Canadian mining financier and pioneer whose investments helped develop major gold mining operations in northern Ontario in the early 20th century.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640782e2c8190b5baef07a2bdd015 |
completed | April 20, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:43 p.m.