Triple
T3143308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeke |
E65703
|
entity |
| Predicate | sequelWorkType |
P46331
|
FINISHED |
| Object | romantic comedy film |
—
|
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: romantic comedy film | Statement: [Zeke, sequelWorkType, romantic comedy film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sequelWorkType Context triple: [Zeke, sequelWorkType, romantic comedy film]
-
A.
hasSequel
Indicates that one work is followed by another work that continues its story, timeline, or thematic development.
-
B.
laterWork
Indicates that one work was created, published, or produced after another work in time.
-
C.
hasSequelNumber
Indicates that an entity is followed by another work in a series identified by a specific sequential number.
-
D.
secondWork
Indicates that one work is the second in order relative to another work within a sequence or set.
-
E.
hasSequelShotBackToBackWith
Indicates that two sequels were filmed consecutively or simultaneously as part of the same production schedule.
- F. None of above. chosen
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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59489a88190b0962cef091f4ddb |
completed | March 8, 2026, 4:36 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfa3d9081908425aa636bb9b897 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada148e9108190b363dd0f1a94ac8e |
completed | March 8, 2026, 4:18 p.m. |
Created at: March 8, 2026, 3:05 p.m.