Triple
T12427009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noah Emmerich |
E296923
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Miracle |
E137184
|
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: Miracle | Statement: [Noah Emmerich, notableWork, Miracle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miracle Context triple: [Noah Emmerich, notableWork, Miracle]
-
A.
Miracle
chosen
Miracle is a 2004 sports drama film depicting the U.S. men's ice hockey team's underdog victory over the Soviet Union at the 1980 Winter Olympics.
-
B.
Miracle
"Miracle" is a song by the Canadian rock band One Heart, released as the follow-up single to their track "One Heart."
-
C.
Miracle
"Miracle" is a synth-pop single by Scottish band Chvrches, known for its anthemic chorus and darker, more aggressive production compared to much of their earlier work.
-
D.
The Miracle
The Miracle is a theatrical production best known for featuring the celebrated English actress and socialite Lady Diana Cooper in a prominent role.
-
E.
Miracles
"Miracles" is an R&B song by American singer Stacy Lattisaw, recognized as one of her notable tracks from the 1980s.
- 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.