Triple
T1364287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Courtship of Miles Standish |
E29166
|
entity |
| Predicate | portraysGroup |
P27485
|
FINISHED |
| Object | Pilgrims |
—
|
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: Pilgrims | Statement: [The Courtship of Miles Standish, portraysGroup, Pilgrims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysGroup Context triple: [The Courtship of Miles Standish, portraysGroup, Pilgrims]
-
A.
portraysAgeGroup
Indicates that one entity depicts or represents another entity as belonging to a particular age group.
-
B.
portraysActorAs
Indicates that one entity depicts or represents an actor in a particular role, character, or manner.
-
C.
portraysRelationship
Indicates that one entity depicts, represents, or illustrates a relationship between other entities.
-
D.
portraysEvent
Indicates that one entity depicts, represents, or illustrates a particular event.
-
E.
coveredGroup
Indicates that one group or set is included within, or has its members protected or accounted for by, another group or arrangement.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c2b5d05c81908b49e282648e073a |
completed | March 1, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69a4bef945c08190a027472fdd695ea5 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c06721488190ac7f6e012f21af3d |
completed | March 1, 2026, 10:40 p.m. |
Created at: March 1, 2026, 7:57 p.m.