Triple
T7990802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melissa McBride |
E185999
|
entity |
| Predicate | televisionDebutInDecade |
P80217
|
FINISHED |
| Object | 1990s |
—
|
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: 1990s | Statement: [Melissa McBride, televisionDebutInDecade, 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: televisionDebutInDecade Context triple: [Melissa McBride, televisionDebutInDecade, 1990s]
-
A.
televisionAdaptationDecade
Indicates the decade during which a work was adapted into a television production.
-
B.
originallyAiredInDecade
Indicates that the original broadcast or first airing of something (such as a show or episode) occurred during a specified decade.
-
C.
televisionPremiereYear
Indicates the calendar year in which a television show or program was first premiered or originally broadcast.
-
D.
alsoAiredInDecade
Indicates that the subject was also broadcast or shown during the specified decade.
-
E.
portrayedInDecade
Indicates that an entity was portrayed or depicted in some medium during a specified decade.
- F. None of above. chosen
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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c6fc19c8190b98023e257c2f4f2 |
completed | March 31, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69cb0483d3b48190b250c7603d747bca |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bbbacc81909c6cf8ec35314bbb |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:16 p.m.