Triple
T5307127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The AllSpark |
E120128
|
entity |
| Predicate | statusIn2007Film |
P44209
|
FINISHED |
| Object | destroyed to stop Megatron |
—
|
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: destroyed to stop Megatron | Statement: [The AllSpark, statusIn2007Film, destroyed to stop Megatron]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusIn2007Film Context triple: [The AllSpark, statusIn2007Film, destroyed to stop Megatron]
-
A.
statusInFirstFilm
chosen
Indicates the role, condition, or situation an entity has in its first film appearance.
-
B.
filmStatus
Indicates the current production, release, or availability state of a film (e.g., announced, in production, released, cancelled).
-
C.
hasFilmVersionStatus
Indicates whether and how a work has been adapted into a film, specifying the status of that film version.
-
D.
statusAfterFirstFilm
Indicates the status or condition of an entity immediately following the release or completion of its first film.
-
E.
rottenTomatoesStatus
Indicates the critical or audience evaluation status of a work as represented on Rotten Tomatoes (e.g., fresh, rotten, or certified).
- 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_69bd44704be88190acdb2ac481b0ff55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd86f20f008190be7b5848af05f2b8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd84534f9c8190bc19d4812060768d |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:53 p.m.