Triple
T34724013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molly Stark Wood |
E1001001
|
entity |
| Predicate | characterOriginRegion |
P200153
|
FINISHED |
| Object | Eastern United States |
—
|
NE NERFINISHED |
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: Eastern United States | Statement: [Molly Stark Wood, characterOriginRegion, Eastern United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterOriginRegion Context triple: [Molly Stark Wood, characterOriginRegion, Eastern United States]
-
A.
administrativeRegionOfOrigin
Indicates the administrative region (such as a state, province, or similar division) from which an entity originates or is associated by origin.
-
B.
speciesOrigin
Indicates the place, environment, or source from which a species originally arose or evolved.
-
C.
calendarRegionOfOrigin
Indicates the geographic or cultural region from which a particular calendar system originates.
-
D.
cultureOfOrigin
Indicates the cultural background or tradition from which an entity originates or is derived.
-
E.
speciesOriginFranchise
Indicates the fictional franchise or series from which a given species originates.
- 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_69f76daeb6e48190a4c9a6b0edc80f72 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ff779e3f0c8190a861f1e4000fd9d9 |
completed | May 9, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69ff77202638819086e4b9f9c0bc7b31 |
completed | May 9, 2026, 6:04 p.m. |
| PDg | Predicate description generation | batch_69ff779d3d788190af5a2dbc4d7ca3c8 |
completed | May 9, 2026, 6:06 p.m. |
Created at: May 3, 2026, 3:59 p.m.