Triple
T28969277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Thanos Quest #1 |
E734226
|
entity |
| Predicate | numberOfIssuesInSeries |
P31088
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [The Thanos Quest #1, numberOfIssuesInSeries, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfIssuesInSeries Context triple: [The Thanos Quest #1, numberOfIssuesInSeries, 2]
-
A.
numberOfIssues
chosen
Indicates the quantity of issues associated with a given entity or context.
-
B.
mainSeriesIssueCount
Indicates the total number of issues contained in the primary or main series associated with an entity.
-
C.
collectsIssuesFromSeries
Indicates that an entity gathers or aggregates issues originating from a particular series.
-
D.
numberOfSeries
Indicates the total count of distinct series associated with or contained within a given entity.
-
E.
hasIssueNumbering
Indicates that an item, such as a publication or series, is assigned a specific issue number or follows a defined issue numbering scheme.
- 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_69f05b0d1e7c819092baab93d3fe277e |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69ffb69812808190a751853b30183e65 |
completed | May 9, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69ffb63bdda88190a9dd8426dc0bad43 |
completed | May 9, 2026, 10:33 p.m. |
Created at: April 28, 2026, 9:04 a.m.