Triple
T3358221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iron Man 2 |
E70654
|
entity |
| Predicate | hasPostCreditsScene |
P47465
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Iron Man 2, hasPostCreditsScene, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPostCreditsScene Context triple: [Iron Man 2, hasPostCreditsScene, yes]
-
A.
featuresMidCreditsScene
Indicates that the work includes a special scene or content that appears during the middle of the closing credits.
-
B.
hasSequel
Indicates that one work is followed by another work that continues its story, timeline, or thematic development.
-
C.
hasPosterArtBy
Indicates that the poster artwork for an item (such as a film, event, or product) was created by a specified artist or designer.
-
D.
finalSceneAction
Indicates the action or event that occurs in the concluding or final scene of a narrative or sequence.
-
E.
hasSequelNumber
Indicates that an entity is followed by another work in a series identified by a specific sequential number.
- 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_69ad85a660c48190998489309a3b4869 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb26523cc819091006fde7beb32e4 |
completed | March 8, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69ada42fbe7c8190b9f185b5ab985f17 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada52716ec81908e89688a81039394 |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:13 p.m.