Triple
T8044036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joiners (photographic collages) |
E187503
|
entity |
| Predicate | periodOfProduction |
P23186
|
FINISHED |
| Object | late 1970s |
—
|
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 1970s | Statement: [Joiners (photographic collages), periodOfProduction, late 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodOfProduction Context triple: [Joiners (photographic collages), periodOfProduction, late 1970s]
-
A.
timePeriodOfProduction
chosen
Indicates the span of time during which something was produced or created.
-
B.
modelProduced
Indicates that a particular model has generated or produced a specified output, result, or artifact.
-
C.
productionYears
Indicates the span of calendar years during which something was produced or manufactured.
-
D.
periodOfRelease
Indicates the time span or date range during which something (such as a work, product, or version) is officially released or made available.
-
E.
productionStartYear
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_69ca82b00cb48190b59a300f70e97bd7 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f4b5e0c819092949af0f995b850 |
completed | March 31, 2026, 3:28 a.m. |
| PD | Predicate disambiguation | batch_69cb049688208190b32088bd2c5930bc |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:23 p.m.