Triple
T9111049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackie's Back! |
E218599
|
entity |
| Predicate | featuresCameosBy |
P49662
|
FINISHED |
| Object | multiple real-life celebrities |
—
|
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: multiple real-life celebrities | Statement: [Jackie's Back!, featuresCameosBy, multiple real-life celebrities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresCameosBy Context triple: [Jackie's Back!, featuresCameosBy, multiple real-life celebrities]
-
A.
featuresCast
Indicates that a creative work includes a particular person or group as part of its cast.
-
B.
laterFeaturedCastFrom
Indicates that one entity appears as a featured cast member in a later work, episode, or installment relative to another entity.
-
C.
featuresCameoBy
chosen
Indicates that a work includes a brief, often special-appearance role performed by the specified person or entity.
-
D.
hasDirectorCameo
Indicates that the director of a work appears in a cameo role within that same work.
-
E.
featuresCharactersFrom
Indicates that one entity (such as a work or production) includes or presents characters originating from another entity.
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca847102881908f9d86ce9883fb1a |
completed | April 1, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69cc65fe5be081909d4470d6317b14a6 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:16 p.m.