Triple
T35833043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mel Blount rule |
E1035850
|
entity |
| Predicate | eraOfContext |
P186414
|
FINISHED |
| Object | 1970s NFL |
—
|
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: 1970s NFL | Statement: [Mel Blount rule, eraOfContext, 1970s NFL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eraOfContext Context triple: [Mel Blount rule, eraOfContext, 1970s NFL]
-
A.
eraOfCollection
Indicates the historical time period during which the collection was assembled or gathered.
-
B.
eraOfTranslation
Indicates the historical period or era during which a given work was translated.
-
C.
eraOfSetting
Indicates the historical or temporal period in which the setting of something (such as a story, event, or work) takes place.
-
D.
eraOfCurrentStructure
Indicates the historical period or era during which the current form or configuration of the structure was established.
-
E.
eraOfConversion
Indicates the specific historical period or era during which the conversion event or change took place.
- 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_69f76e192a94819082db360cb91e6a8d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7cec398ac819081c954a993c323ee |
completed | May 3, 2026, 10:40 p.m. |
Created at: May 3, 2026, 4:06 p.m.