Triple
T2745507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold Ramis |
E60856
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Meatballs |
E77924
|
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: Meatballs | Statement: [Harold Ramis, notableWork, Meatballs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meatballs Context triple: [Harold Ramis, notableWork, Meatballs]
-
A.
Meatballs
chosen
Meatballs is a 1979 comedy film that helped establish Bill Murray as a major comedic star through his role as an irreverent summer camp counselor.
-
B.
Spaghettii
"Spaghettii" is a song by Beyoncé from her genre-blending album "Cowboy Carter," showcasing her experimental approach to country and hip-hop influences.
-
C.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
-
D.
Linguini
Linguini is the clumsy yet kind-hearted young chef from Disney-Pixar’s Ratatouille who secretly teams up with the rat Remy to create extraordinary dishes.
-
E.
Caprese
Caprese is a small Tuscan village in Italy best known as the birthplace of the Renaissance artist Michelangelo.
- 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb4d37a481908cc2ad4666f3ac94 |
completed | March 7, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbcebe788190aa2b40158b64b7b2 |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:56 p.m.