Triple
T16618902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Bello |
E403767
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Cooler |
E351373
|
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: The Cooler | Statement: [Maria Bello, notableWork, The Cooler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Cooler Context triple: [Maria Bello, notableWork, The Cooler]
-
A.
The Cooler
chosen
The Cooler is a 2003 romantic drama film set in a Las Vegas casino, best known for its blend of noir atmosphere and character-driven storytelling.
-
B.
Keep Cool
Keep Cool is a contemporary record label known for signing innovative R&B and pop artists, including Normani.
-
C.
The Cool
The Cool is Lupe Fiasco’s critically acclaimed second studio album, known for its intricate storytelling, conceptual depth, and socially conscious lyricism.
-
D.
Cooler than Me
"Cooler than Me" is a 2010 electropop hit single by American singer-songwriter Mike Posner that gained widespread popularity for its catchy melody and lyrics about envy and insecurity.
-
E.
The Cool Wall
The Cool Wall was a recurring Top Gear segment where the hosts humorously debated and ranked cars on a wall according to their perceived “coolness” rather than performance.
- 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_69d883897eb481909eaaa088ba9918d9 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3754bc4cc8190a586732fc6507b40 |
completed | April 18, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007db0b4348190beb573bc3df98125 |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:17 a.m.