Triple
T14166706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Courser |
E351095
|
entity |
| Predicate | hasEnglishTitle |
P3437
|
FINISHED |
| Object | The Courser |
E351095
|
NE 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: The Courser | Statement: [The Courser, hasEnglishTitle, The Courser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Courser Context triple: [The Courser, hasEnglishTitle, The Courser]
-
A.
The Courser
chosen
The Courser is the English rendering of the Arabic name "Al-Adiyat," referring to the charging war-horses evoked in the 100th chapter of the Qur’an.
-
B.
The Black
The Black is the powerful, untamed Arabian stallion who forms a deep bond with a young boy in Walter Farley’s classic horse adventure series.
-
C.
The Rag
The Rag is the informal name of the Army and Navy Club, a historic private members’ club in London traditionally associated with British military officers.
-
D.
The Seven
The Seven is a legendary group of immortal beings often depicted as powerful, enigmatic figures central to various mythic or fictional narratives.
-
E.
Le Botin
Le Botin was the specially outfitted studio boat used by French landscape painter Charles-François Daubigny to work directly on rivers and capture natural light and atmosphere in his paintings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b355f08190864c7322bbcb766d |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd193dbbcc819082043d92c174164c |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1 a.m.