Triple
T19042702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AFI 100 Years...100 Movie Quotes |
E466045
|
entity |
| Predicate | secondRankedItem |
P62306
|
FINISHED |
| Object | "I'm gonna make him an offer he can't refuse." |
—
|
LITERAL 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: "I'm gonna make him an offer he can't refuse." | Statement: [AFI 100 Years...100 Movie Quotes, secondRankedItem, "I'm gonna make him an offer he can't refuse."]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondRankedItem Context triple: [AFI 100 Years...100 Movie Quotes, secondRankedItem, "I'm gonna make him an offer he can't refuse."]
-
A.
secondRank
Indicates that one entity holds the second position or rank in order or hierarchy relative to others.
-
B.
secondRankSee
Indicates that a second-ranked entity observes, notices, or visually perceives another entity.
-
C.
secondPlace
Indicates that an entity holds the position of runner-up or finishes in second place in a ranked ordering, competition, or comparison relative to others.
-
D.
secondElement
chosen
Indicates that one entity is the second element in an ordered pair, sequence, or collection relative to another entity.
-
E.
secondRunnerUp
Indicates that one entity finished in third place in a competition or ranking relative to the others.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d801ef188190a231e85e1bbce037 |
completed | April 20, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.