Triple
T38014268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Rout of the White Hussars |
E948448
|
entity |
| Predicate | hasFictionalUnit |
P15645
|
FINISHED |
| Object |
White Hussars
The White Hussars are a fictional British cavalry regiment featured in Rudyard Kipling’s story “The Rout of the White Hussars.”
|
E2254224
|
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: White Hussars | Statement: [The Rout of the White Hussars, hasFictionalUnit, White Hussars]
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: White Hussars Triple: [The Rout of the White Hussars, hasFictionalUnit, White Hussars]
Generated description
The White Hussars are a fictional British cavalry regiment featured in Rudyard Kipling’s story “The Rout of the White Hussars.”
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalUnit Context triple: [The Rout of the White Hussars, hasFictionalUnit, White Hussars]
-
A.
hasFictionalUniverseElement
chosen
Indicates that one entity is a component, feature, or constituent part of the fictional universe represented by the other entity.
-
B.
hasFictionalForm
Indicates that an entity has a counterpart or representation that exists within a fictional or imaginary context.
-
C.
hasFictionalType
Indicates that an entity is associated with or classified under a particular type or category that is fictional rather than real.
-
D.
hasFictionalScope
Indicates that something pertains to, applies within, or is limited to a fictional or imagined context rather than real-world scope.
-
E.
hasFictionalFunction
Indicates that an entity serves a role, purpose, or function within a fictional context or narrative.
- 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_69f76efc10448190aff5fb566b98f952 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a0079e152648190a9da2add94fc1831 |
completed | May 10, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a415d27f00481908dae3b0a4a1436cf |
completed | June 28, 2026, 5:43 p.m. |
| NEDg | Description generation | batch_6a415e20941881908cc7ee3418123ea8 |
completed | June 28, 2026, 5:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a415f54846081909b862a6d8c2cc73a |
completed | June 28, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_6a0078f77f9c8190af357a6016a2bd53 |
completed | May 10, 2026, 12:24 p.m. |
Created at: May 3, 2026, 4:20 p.m.