Triple
T37910678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canyon River |
E945677
|
entity |
| Predicate | hasReferenceTitle |
P142052
|
FINISHED |
| Object |
Canyon River (1956 film)
Canyon River (1956 film) is a 1956 American Western movie starring George Montgomery that follows a cattleman facing betrayal and danger while driving a herd across treacherous territory.
|
E2248484
|
NE FINISHED |
How this triple was built (3 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: Canyon River (1956 film) | Statement: [Canyon River, hasReferenceTitle, Canyon River (1956 film)]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Canyon River (1956 film) Triple: [Canyon River, hasReferenceTitle, Canyon River (1956 film)]
Generated description
Canyon River (1956 film) is a 1956 American Western movie starring George Montgomery that follows a cattleman facing betrayal and danger while driving a herd across treacherous territory.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReferenceTitle Context triple: [Canyon River, hasReferenceTitle, Canyon River (1956 film)]
-
A.
hasTitlePhraseReferringTo
chosen
Indicates that an entity’s title includes or is associated with a specific phrase that refers to another entity or concept.
-
B.
hasTitleIn
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
-
C.
hasTitleRelation
Indicates that one entity holds a formal title, designation, or rank in relation to another entity.
-
D.
hasTitleOf
Indicates that one entity holds, bears, or is designated by the official title, name, or rank specified by another entity.
-
E.
refersToTitleHolder
Indicates that one entity makes reference to, or designates, the entity that currently holds a specific title or position.
- F. None of above.
Provenance (6 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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a410ccc973c8190b53b11c6c0af320c |
completed | June 28, 2026, noon |
| NEDg | Description generation | batch_6a410d70ba0c8190bdcab9e762c92884 |
completed | June 28, 2026, 12:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a410e3dd828819099fc3a413bcfbeb9 |
completed | June 28, 2026, 12:06 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.