Triple
T6464312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Ugly Fat Fellow |
E142194
|
entity |
| Predicate | firstUsagePeriod |
P24583
|
FINISHED |
| Object | 1950s |
—
|
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: 1950s | Statement: [Big Ugly Fat Fellow, firstUsagePeriod, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstUsagePeriod Context triple: [Big Ugly Fat Fellow, firstUsagePeriod, 1950s]
-
A.
firstUsedAt
Indicates the time or place at which something was initially used or put into operation.
-
B.
firstUsedFor
Indicates that one entity was the earliest or original thing for which another entity was used or applied.
-
C.
firstUsedOn
Indicates the date, time, or context in which something was initially applied, activated, or put into use on a particular object or entity.
-
D.
firstProminentlyUsedAfter
Indicates that one entity began to be widely or notably used only after the time or event associated with another entity.
-
E.
firstYearOfUse
chosen
Indicates the year in which something was first put into use or began being used.
- 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06a10305081909521ee200cf70a30 |
completed | March 22, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69c0673d46a08190bc8bcd29f9555fe7 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:49 p.m.