Triple
T35820281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Act |
E1035477
|
entity |
| Predicate | starsAsBoss |
P151952
|
FINISHED |
| Object | Treat Williams |
—
|
NE NERFINISHED |
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: Treat Williams | Statement: [Second Act, starsAsBoss, Treat Williams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starsAsBoss Context triple: [Second Act, starsAsBoss, Treat Williams]
-
A.
stageBossOf
Indicates that one entity serves as the primary boss or main adversary encountered in a particular stage, level, or area associated with another entity.
-
B.
starIs
Indicates that one entity is identified or classified as a star in relation to another entity or context.
-
C.
bossCharacter
Indicates that one character serves as the primary, often more powerful, opponent or leader that others must confront or overcome.
-
D.
mainStars
chosen
Indicates that the subject is the primary or leading performer(s) featured in the object work or production.
-
E.
roleInHorribleBosses
Indicates that an entity has a specific acting role or character appearance in the movie "Horrible Bosses."
- F. None of above.
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_69f76e185ffc8190880b3cdf51decd38 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7ac23d1388190bdf9628b294943bd |
completed | May 3, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:06 p.m.