Triple
T17448660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mad God |
E424852
|
entity |
| Predicate | beganProductionIn |
P7995
|
FINISHED |
| Object | late 1980s |
—
|
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: late 1980s | Statement: [Mad God, beganProductionIn, late 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beganProductionIn Context triple: [Mad God, beganProductionIn, late 1980s]
-
A.
beganCommercialProduction
Indicates that an entity started producing something commercially, marking the commencement of its large-scale or market-oriented production.
-
B.
firstProducedAt
Indicates the location or context where something was originally created, manufactured, or brought into existence for the first time.
-
C.
initialProductionEndDate
Indicates the date on which the initial phase or run of production for something comes to an end.
-
D.
beganInYear
Indicates that an event, process, or state started in a specific calendar year.
-
E.
productionStartYear
chosen
Indicates the year in which the production of an item, work, or entity first began.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4513b99908190a6b5833559856c8b |
completed | April 19, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.