Triple
T12357981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Animal House |
E294659
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Matty Simmons |
E789934
|
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: Matty Simmons | Statement: [Animal House, producer, Matty Simmons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matty Simmons Context triple: [Animal House, producer, Matty Simmons]
-
A.
Matty Simmons
chosen
Matty Simmons was an American film and magazine producer best known for helping create the National Lampoon comedy empire and overseeing its successful transition into hit movies.
-
B.
Matty Walker
Matty Walker is the seductive and manipulative femme fatale at the center of the neo-noir film "Body Heat."
-
C.
Johnny Simmons
Johnny Simmons is an American actor known for his roles in films like "Scott Pilgrim vs. the World," "The Perks of Being a Wallflower," and the Netflix series "Girlboss."
-
D.
Ian Simmons
Ian Simmons is an American businessman and philanthropist known for his work in impact investing and civic engagement initiatives.
-
E.
Bobby Simmons
Bobby Simmons is a former American professional basketball player who played in the NBA, most notably winning the NBA Most Improved Player Award in 2005.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f8e64dc81908c2242c68cd1b86e |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ab771448190b7f76e424ec0b4b5 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:54 p.m.