Triple
T34891448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "I'm as mad as hell, and I'm not going to take this anymore!" |
E1006298
|
entity |
| Predicate | memorableLineFrom |
P77440
|
FINISHED |
| Object | Network |
—
|
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: Network | Statement: ["I'm as mad as hell, and I'm not going to take this anymore!", memorableLineFrom, Network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memorableLineFrom Context triple: ["I'm as mad as hell, and I'm not going to take this anymore!", memorableLineFrom, Network]
-
A.
famousLineSpeaker
Indicates that the subject is the person who spoke or delivered the famous line referenced by the object.
-
B.
memorableQuoteContext
Indicates the situational or narrative context in which a particular memorable quote was spoken or written.
-
C.
sentenceOf
Indicates that one entity is a sentence that belongs to, is contained in, or is part of another larger text or document.
-
D.
dialogueLine
chosen
Indicates that one entity is a specific spoken or written line of dialogue expressed by another entity (such as a character or speaker).
-
E.
characterCatchphrase
Indicates that a particular phrase is commonly and distinctively used by a character as their catchphrase.
- 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_69f76dbedb288190afe5780710847410 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4 p.m.