Triple
T37718978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Invaders |
E939532
|
entity |
| Predicate | firstOngoingSeries |
P204359
|
FINISHED |
| Object | The Invaders |
E822260
|
NE 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: The Invaders | Statement: [Invaders, firstOngoingSeries, The Invaders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOngoingSeries Context triple: [Invaders, firstOngoingSeries, The Invaders]
-
A.
firstOngoingSeriesTitle
Indicates that the object is the title of the first ongoing series associated with the subject.
-
B.
firstSeries
Indicates that one entity is the initial or earliest series in an ordered sequence of related series.
-
C.
originalSeries
Indicates that one creative work is the initial or primary series from which another related work (such as a sequel, spin-off, or adaptation) originates.
-
D.
firstAiredInSeries
Indicates the series in which an episode or show was originally first broadcast.
-
E.
firstEpisode
Indicates that one entity is the initial or earliest episode in the series or sequence associated with another entity.
- F. None of above. chosen
Provenance (5 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_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a410cadf5ac8190a301f5e0c4724f67 |
completed | June 28, 2026, 11:59 a.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:18 p.m.