Triple
T38092928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merry Anders |
E951160
|
entity |
| Predicate | notableGenrePicture |
P207597
|
FINISHED |
| Object | The Time Travelers |
E1201836
|
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: The Time Travelers | Statement: [Merry Anders, notableGenrePicture, The Time Travelers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableGenrePicture Context triple: [Merry Anders, notableGenrePicture, The Time Travelers]
-
A.
notableGenreOfFilm
Indicates that a particular genre is especially characteristic, prominent, or noteworthy for a given film.
-
B.
notableCollectionGenre
Indicates that a collection is recognized as notable specifically within a given genre.
-
C.
notableCoverGenre
Indicates that one entity is a genre in which another entity is notably covered, adapted, or reinterpreted.
-
D.
depictsGenre
Indicates that one entity visually represents or portrays the genre category associated with another entity.
-
E.
featuredInFilmGenre
Indicates that an entity (such as a film, character, or work) appears in or is associated with a specific film genre.
- F. None of above. chosen
Provenance (5 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_69f76f04960c8190a83f14ae4c67f5bc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41680a4bf88190ad7d99e9afa2b668 |
completed | June 28, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037df009f4819082e04683e6e8a106 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:21 p.m.