Triple
T37718979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Invaders |
E939532
|
entity |
| Predicate | firstOngoingSeriesPublicationStart |
P104118
|
FINISHED |
| Object | 1975 |
—
|
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: 1975 | Statement: [Invaders, firstOngoingSeriesPublicationStart, 1975]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOngoingSeriesPublicationStart Context triple: [Invaders, firstOngoingSeriesPublicationStart, 1975]
-
A.
firstSerialPublicationYear
chosen
Indicates the calendar year in which a work was first published in serial form.
-
B.
firstEditionStartDate
Indicates the date on which the first edition of something (such as a work, product, or event series) was initially released or began.
-
C.
currentSeriesIssueStart
Indicates that something marks the starting point or first issue of the current series.
-
D.
firstCompletePublicationYear
Indicates the calendar year in which an entity’s first complete publication was released.
-
E.
bookSeriesDebut
Indicates the work in which a particular book series first appeared or was initially introduced.
- 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.