Triple
T20467359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanted 2 (cancelled development) |
E502086
|
entity |
| Predicate | followedByInConcept |
P111872
|
FINISHED |
| Object | proposed sequel to Wanted (2008 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: proposed sequel to Wanted (2008 film) | Statement: [Wanted 2 (cancelled development), followedByInConcept, proposed sequel to Wanted (2008 film)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followedByInConcept Context triple: [Wanted 2 (cancelled development), followedByInConcept, proposed sequel to Wanted (2008 film)]
-
A.
followsInConcept
chosen
Indicates that one concept comes after or is derived from another concept in a logical, thematic, or conceptual sequence.
-
B.
followsIn
Indicates that one entity comes after or succeeds another in a sequence, order, or progression.
-
C.
followsBy
Indicates that one event, state, or entity occurs or comes immediately after another in a sequence or order.
-
D.
followedByComponent
Indicates that one component directly succeeds another component in a defined sequence or order.
-
E.
followedByClass
Indicates that one class or type is immediately succeeded by another class or type in a defined sequence or ordering.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6995d9d1c81909ee223a35a0850ba |
completed | April 20, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69e57679eb40819086142df3e39c928e |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:33 a.m.