Triple
T12427010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noah Emmerich |
E296923
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Frequency |
E470285
|
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: Frequency | Statement: [Noah Emmerich, notableWork, Frequency]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frequency Context triple: [Noah Emmerich, notableWork, Frequency]
-
A.
Frequency
chosen
Frequency is a 2000 science fiction thriller film involving time-bending communication between a father and son to prevent a series of tragedies.
-
B.
Frequency
Frequency is a rhythm-based music video game developed by Harmonix in which players interactively remix and perform songs by triggering musical tracks in time with the beat.
-
C.
Frequency
Frequency is a music producer known for working with the rapper The Monster.
-
D.
Full Frequency
Full Frequency is a 2014 dancehall and reggae fusion studio album by Jamaican artist Sean Paul, featuring club-oriented tracks and numerous high-profile collaborations.
-
E.
Freq Nasty
Freq Nasty is a breakbeat and bass music producer and DJ known for his influential role in the late-1990s and early-2000s UK electronic music scene.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d7ccda08190be2ff1739c1c6855 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63499061881908d25af7c3474f774 |
completed | May 2, 2026, 5:30 p.m. |
Created at: April 8, 2026, 9:55 p.m.