Triple
T25521735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Mad Magician |
E639667
|
entity |
| Predicate | followedTrendOf |
P5318
|
FINISHED |
| Object | 1950s 3D film cycle |
—
|
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: 1950s 3D film cycle | Statement: [The Mad Magician, followedTrendOf, 1950s 3D film cycle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followedTrendOf Context triple: [The Mad Magician, followedTrendOf, 1950s 3D film cycle]
-
A.
followedIn
Indicates that one entity began following or subscribing to another entity, typically in a social or sequential context.
-
B.
calledToFollowBy
Indicates that one entity has been summoned, invited, or designated by another entity to follow, accompany, or pursue a path or role associated with that other entity.
-
C.
followedPerson
Indicates that one person has chosen to follow another person, typically to receive updates or track their activities.
-
D.
eraFollowed
Indicates that one historical era comes directly after another in chronological sequence.
-
E.
hasTrend
chosen
Indicates that something exhibits or is associated with a particular pattern of change or direction over time.
- 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_69e75dbe32e48190a62d749a0ff2a96a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 21, 2026, 3 p.m.