Triple
T10283016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mavis Gary |
E241150
|
entity |
| Predicate | relationshipTo |
P37
|
FINISHED |
| Object | Buddy Slade |
E852557
|
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: Buddy Slade | Statement: [Mavis Gary, relationshipTo, Buddy Slade]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buddy Slade Context triple: [Mavis Gary, relationshipTo, Buddy Slade]
-
A.
Buddy Slade
chosen
Buddy Slade is a former high school jock and Mavis Gary’s married ex-boyfriend in the dark comedy film "Young Adult."
-
B.
Buddy Johnson
Buddy Johnson is a screenwriter best known for his work on the horror-comedy parody film "Scary Movie."
-
C.
Jimmy Slyde
Jimmy Slyde was an influential American tap dancer renowned for his smooth, gliding style and improvisational jazz-infused performances.
-
D.
Lonny Baxter
Lonny Baxter is a former American professional basketball player best known for starring on the University of Maryland team that won the 2002 NCAA championship.
-
E.
Buddy Love
Buddy Love is the brash, womanizing alter ego of Professor Sherman Klump in the Nutty Professor films, embodying his unleashed id and confidence.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2a22f9881908b220dbe1e80c101 |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d012ae481909633b1333dc88b63 |
completed | April 9, 2026, 3:29 a.m. |
Created at: April 6, 2026, 11:39 a.m.