Triple
T32041098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Up franchise |
E818220
|
entity |
| Predicate | includesShortFilm |
P100354
|
FINISHED |
| Object |
George & A.J.
George & A.J. is a Pixar animated short film that humorously follows two put-upon retirement home workers dealing with the aftermath of Carl Fredricksen’s balloon-powered house escape from the movie "Up."
|
E1988885
|
NE FINISHED |
How this triple was built (3 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: George & A.J. | Statement: [Up franchise, includesShortFilm, George & A.J.]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: George & A.J. Triple: [Up franchise, includesShortFilm, George & A.J.]
Generated description
George & A.J. is a Pixar animated short film that humorously follows two put-upon retirement home workers dealing with the aftermath of Carl Fredricksen’s balloon-powered house escape from the movie "Up."
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesShortFilm Context triple: [Up franchise, includesShortFilm, George & A.J.]
-
A.
hasShortFilmLength
Indicates that an entity has a duration characteristic of a short film, typically below a standard feature-length runtime.
-
B.
hasShortFilmAttachedInTheaters
Indicates that a film is accompanied by a specific short film when shown in theaters.
-
C.
shortFilmComponent
Indicates that one entity is a component, segment, or part of a short film represented by the other entity.
-
D.
hasCinematicShort
chosen
Indicates that an entity is associated with or includes a cinematic short film or short-form cinematic content.
-
E.
featuredInShortFilm
Indicates that an entity appears or plays a role in a short film.
- F. None of above.
Provenance (6 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_69f348fcfb648190859f6be5e04b7cfe |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a01a534a8908190aa888d6be5deb824 |
completed | May 11, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2ed4fb21ec8190bed414e32a567a16 |
completed | June 14, 2026, 4:21 p.m. |
| NEDg | Description generation | batch_6a2ed5c07e34819098385a0d7a928fa4 |
completed | June 14, 2026, 4:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2ed7379d088190b7481d5c7eb61b9f |
completed | June 14, 2026, 4:30 p.m. |
| PD | Predicate disambiguation | batch_6a01a507c1f081909ff6abc5575db0bb |
completed | May 11, 2026, 9:44 a.m. |
Created at: May 1, 2026, 12:19 a.m.