Triple
T6955879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michonne |
E161241
|
entity |
| Predicate | tvFirstAppearanceYear |
P52448
|
FINISHED |
| Object | 2012 |
—
|
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: 2012 | Statement: [Michonne, tvFirstAppearanceYear, 2012]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tvFirstAppearanceYear Context triple: [Michonne, tvFirstAppearanceYear, 2012]
-
A.
seriesDebut
Indicates the first appearance or initial release of a series in which the subject entity is introduced.
-
B.
televisionPremiereYear
Indicates the calendar year in which a television show or program was first premiered or originally broadcast.
-
C.
characterFirstAppearanceInThisPortrayal
chosen
Indicates that this is the first time the character appears in the specific portrayal or adaptation being referenced.
-
D.
seriesDebutContext
Indicates the context or circumstances under which a series first debuted or was initially introduced.
-
E.
introducedOnTV
Indicates that an entity was first presented, revealed, or made known to the public through a television broadcast.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacf8c8c8190a25dbacebeb4b66e |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7bf0a7c8190b5ed4aca22ba9b97 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:29 p.m.