Triple
T34587044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | When Eight Bells Toll (1971 film) |
E888071
|
entity |
| Predicate | hasMaritimeElements |
P76343
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [When Eight Bells Toll (1971 film), hasMaritimeElements, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaritimeElements Context triple: [When Eight Bells Toll (1971 film), hasMaritimeElements, true]
-
A.
hasMaritimeFeature
Indicates that one entity possesses, contains, or is characterized by a maritime-related feature such as a sea, coast, harbor, or other oceanic element.
-
B.
hasMaritimeConnection
chosen
Indicates a relationship in which an entity is linked to seas, oceans, or maritime activities, such as shipping, navigation, or coastal operations.
-
C.
hasMaritimeZone
Indicates that one entity possesses or is associated with a specific maritime area or jurisdictional sea zone.
-
D.
hasMarineHabitatType
Indicates that an entity is associated with or occurs in a specific type of marine habitat.
-
E.
hasMarineEcosystem
Indicates that an entity possesses, contains, or is associated with a marine ecosystem as part of its characteristics or environment.
- 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_69f349d25cbc8190869998de5915886b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a01b50490e481908eb1d675561fdde2 |
completed | May 11, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_6a01b44b106481908aa98a3f1eb2c119 |
completed | May 11, 2026, 10:49 a.m. |
Created at: May 1, 2026, 2:03 a.m.