Triple
T3968347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Waterboy |
E92268
|
entity |
| Predicate | leadActress |
P6108
|
FINISHED |
| Object | Kathy Bates |
E221578
|
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: Kathy Bates | Statement: [The Waterboy, leadActress, Kathy Bates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kathy Bates Context triple: [The Waterboy, leadActress, Kathy Bates]
-
A.
Kathy Bates
chosen
Kathy Bates is an acclaimed American actress known for her powerful, often intense performances, including her Oscar-winning role in the psychological thriller "Misery."
-
B.
Glenn Close
Glenn Close is an acclaimed American actress known for her powerful performances in film, television, and theater, with multiple Academy Award and Tony Award nominations and wins.
-
C.
Amy Ryan
Amy Ryan is an American actress acclaimed for her versatile film, television, and stage performances, including an Oscar-nominated role in "Gone Baby Gone."
-
D.
Mary McDonnell
Mary McDonnell is an American actress known for her acclaimed film and television roles, including her work in dramas and science fiction such as "Dances with Wolves" and "Battlestar Galactica."
-
E.
Dianne Wiest
Dianne Wiest is an acclaimed American actress known for her versatile performances in film, television, and theater, including multiple award-winning supporting roles.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef992d6bc8190be1b244eb87f2964 |
completed | March 9, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b595f59e908190a45b3b9c767974fb |
completed | March 14, 2026, 5:08 p.m. |
Created at: March 9, 2026, 3:32 p.m.