Triple
T5276630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bubba Gump Shrimp Co. |
E119385
|
entity |
| Predicate | entertainmentElement |
P14308
|
FINISHED |
| Object | movie quotes on walls |
—
|
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: movie quotes on walls | Statement: [Bubba Gump Shrimp Co., entertainmentElement, movie quotes on walls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entertainmentElement Context triple: [Bubba Gump Shrimp Co., entertainmentElement, movie quotes on walls]
-
A.
entertainmentType
Indicates the kind or category of entertainment associated with an entity or event.
-
B.
televisionShow
Indicates that one entity is a television show associated with, or featured in relation to, another entity.
-
C.
notableMedia
Indicates a relationship where a media work is recognized as significant, prominent, or especially relevant in connection with a given entity.
-
D.
fanCultureElement
chosen
Indicates a relationship where something is a notable practice, artifact, or tradition that characterizes or expresses a particular fan culture.
-
E.
shows
Indicates that one entity presents, displays, or makes another entity visible or known to an audience or observer.
- 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_69bd446d05a8819092ad333a3f9c8d5c |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8c9c72b08190947b6b955ac1bb5a |
completed | March 20, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69bd844a56b48190ad743c42246e02dd |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:51 p.m.