Triple
T31282510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watchmen #1 |
E797710
|
entity |
| Predicate | isFirstIssueOf |
P164070
|
FINISHED |
| Object | Watchmen |
—
|
NE NERFINISHED |
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: Watchmen | Statement: [Watchmen #1, isFirstIssueOf, Watchmen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFirstIssueOf Context triple: [Watchmen #1, isFirstIssueOf, Watchmen]
-
A.
firstIssueNumber
Indicates the issue number at which something (such as a series, feature, or character) first appeared or began.
-
B.
isFirstReportOf
Indicates that the referenced report is the earliest or initial report documenting a particular event, condition, or subject.
-
C.
hasFirstIssueContext
Indicates that a subject is associated with the contextual information or circumstances surrounding its first issue or occurrence.
-
D.
isOriginalIssueOf
chosen
Indicates that one item is the first or primary issue/edition from which another related issue or edition derives.
-
E.
wasFirst
Indicates that one entity occurred, appeared, or held a position before another in time or sequence.
- 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_69f224def9088190a37034eab3daf57f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:13 p.m.