Triple
T37129602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sherman |
E919480
|
entity |
| Predicate | featureFilmTitle |
P94669
|
FINISHED |
| Object | Mr. Peabody & Sherman |
E268299
|
NE 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: Mr. Peabody & Sherman | Statement: [Sherman, featureFilmTitle, Mr. Peabody & Sherman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featureFilmTitle Context triple: [Sherman, featureFilmTitle, Mr. Peabody & Sherman]
-
A.
film6Title
Indicates the title assigned to the sixth film in a sequence or collection.
-
B.
film4Title
Indicates that the specified title is the fourth film title associated with the given entity or within a particular ordered sequence of films.
-
C.
sourceFilmTitle
chosen
Indicates the title of the film from which a referenced work, element, or derivative content originates.
-
D.
filmProject
Indicates a relationship where an entity is involved in or associated with a specific film production project.
-
E.
featureFilmComponent
Indicates that one entity is a component or part (such as a segment, reel, or related element) of a feature film.
- F. None of above.
Provenance (4 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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40a7db93e48190af81d864ea5c85a5 |
completed | June 28, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.