Triple
T29748933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marshall Point Light Station |
E752839
|
entity |
| Predicate | sceneDescription |
P139238
|
FINISHED |
| Object | Shown as the endpoint of Forrest Gump's cross-country run |
—
|
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: Shown as the endpoint of Forrest Gump's cross-country run | Statement: [Marshall Point Light Station, sceneDescription, Shown as the endpoint of Forrest Gump's cross-country run]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sceneDescription Context triple: [Marshall Point Light Station, sceneDescription, Shown as the endpoint of Forrest Gump's cross-country run]
-
A.
sceneFeature
Indicates a characteristic, element, or attribute that is present within or helps define a particular scene.
-
B.
sceneDepicts
chosen
Indicates that a scene visually represents or portrays a particular entity, event, or situation.
-
C.
sceneLabel
Indicates the categorical label or type assigned to an entire scene based on its overall content or context.
-
D.
scenes
Indicates that one entity is a scene or setting in which the other entity occurs, appears, or is depicted.
-
E.
partOfScene
Indicates that one entity functions as a component or element within a larger scene or setting involving another entity.
- 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_69f0d62c84cc8190846f80ae04fdf8ec |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f673695948819087f4aed3af78d760 |
completed | May 2, 2026, 9:58 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 7:52 p.m.