Triple
T36505450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark troopers |
E899447
|
entity |
| Predicate | firstCanonAppearance |
P70526
|
FINISHED |
| Object | The Mandalorian |
E246286
|
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 Mandalorian | Statement: [Dark troopers, firstCanonAppearance, The Mandalorian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCanonAppearance Context triple: [Dark troopers, firstCanonAppearance, The Mandalorian]
-
A.
firstAppearanceApprox
Indicates that one entity is the approximate or estimated first appearance of another entity in time or context.
-
B.
firstAppearanceFranchise
Indicates the franchise in which an entity made its first appearance.
-
C.
firstPublicationYearOfAppearance
Indicates the year in which an entity (such as a work or character) first appeared in a published form.
-
D.
firstAppearanceAct
Indicates the act in which an entity makes its first appearance within a work or performance.
-
E.
firstPopularAppearance
chosen
Indicates the earliest notable or widely recognized appearance of an entity in a public or popular context.
- F. None of above.
Provenance (4 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_69f76e5b92088190933afda3f7531dd4 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39dbd340848190aad6d59bf1ed8479 |
completed | June 23, 2026, 1:05 a.m. |
| PD | Predicate disambiguation | batch_6a037a0bf4b88190bdcfae9a14b51f0a |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:10 p.m.