Triple
T16405948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Carreras |
E398427
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Shatter |
E972335
|
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: Shatter | Statement: [Michael Carreras, notableWork, Shatter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shatter Context triple: [Michael Carreras, notableWork, Shatter]
-
A.
Shatter
chosen
Shatter is a 1974 action thriller film starring Stuart Whitman as a hitman entangled in betrayal and international intrigue.
-
B.
Shatterday
Shatterday is a collection of speculative fiction stories by Harlan Ellison, noted for its darkly imaginative narratives and incisive social commentary.
-
C.
Shattered
"Shattered" is a song from Linda Ronstadt’s 1989 pop-rock album *Cry Like a Rainstorm, Howl Like the Wind*, known for its polished production and emotive vocal performance.
-
D.
Shattered
Shattered is a film featuring Canadian actress Molly Parker in a prominent role.
-
E.
Shattered
Shattered is a crime thriller novel in James Patterson and Michael Ledwidge’s Michael Bennett series, following the New York detective as he investigates a high-stakes, politically charged murder.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327d2b4e48190b7153f198639e9cd |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c62614c8190acd6d211cab1be11 |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:09 a.m.