Triple
T1407704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Löwenbräu Griffin |
E31731
|
entity |
| Predicate | hasRunningGag |
P14479
|
FINISHED |
| Object | long chicken fights with Ernie the Giant Chicken |
—
|
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: long chicken fights with Ernie the Giant Chicken | Statement: [Peter Löwenbräu Griffin, hasRunningGag, long chicken fights with Ernie the Giant Chicken]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRunningGag Context triple: [Peter Löwenbräu Griffin, hasRunningGag, long chicken fights with Ernie the Giant Chicken]
-
A.
canIncludeGagOrder
Indicates that a legal order or agreement has the authority to contain a provision restricting parties from publicly disclosing certain information (a gag order).
-
B.
hasAct
Indicates that an entity performs, participates in, or is associated with a specific act or action.
-
C.
hasHumorType
chosen
Indicates that an entity possesses or is characterized by a particular style, category, or type of humor.
-
D.
hasEpisode
Indicates that something, typically a series or program, includes a specific episode as one of its constituent parts.
-
E.
hasFanActivity
Indicates that an entity is associated with actions, behaviors, or engagement carried out by fans in relation to it.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3bf7f0c8190aee96818de6ff4a5 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bf030a388190bc82d30b9233e873 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.