Triple
T18177675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Falling Man (article) |
E435204
|
entity |
| Predicate | originallyAppearedInIssue |
P78612
|
FINISHED |
| Object | Esquire September 2003 issue |
—
|
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: Esquire September 2003 issue | Statement: [The Falling Man (article), originallyAppearedInIssue, Esquire September 2003 issue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyAppearedInIssue Context triple: [The Falling Man (article), originallyAppearedInIssue, Esquire September 2003 issue]
-
A.
lastAppearedInIssue
Indicates the most recent issue (such as of a publication or series) in which the entity appeared.
-
B.
originallyAppearedOn
Indicates the original source or platform where something (such as a work, content, or item) was first published, released, or made available.
-
C.
firstAppearanceInComicsIssue
chosen
Indicates the specific comic book issue in which an entity (such as a character or item) is depicted for the first time.
-
D.
currentSeriesIssueStart
Indicates that something marks the starting point or first issue of the current series.
-
E.
firstAppearancePublisher
Indicates the publisher responsible for releasing an entity’s first appearance.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df5a72008190bd2e56205b995a87 |
completed | April 19, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:31 a.m.