Triple
T494873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Gray |
E10270
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Bard |
E20950
|
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 Bard | Statement: [Thomas Gray, notableWork, The Bard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Bard Context triple: [Thomas Gray, notableWork, The Bard]
-
A.
Arthur
Arthur is the given name of the renowned American playwright Arthur Miller, known for works such as "Death of a Salesman" and "The Crucible."
-
B.
Poemen the Great
Poemen the Great was a prominent 4th–5th century Christian monk and spiritual elder of the Desert Fathers, renowned for his wisdom, humility, and influential sayings on ascetic and contemplative life.
-
C.
Wilfred
Wilfred is a masculine given name of English origin, notably borne by the World War I poet Wilfred Owen.
-
D.
Hugh Marlowe
Hugh Marlowe was an American film, television, and stage actor best known for his roles in classic mid-20th-century movies and popular TV series.
-
E.
William Shakespeare
chosen
William Shakespeare was an English playwright, poet, and actor of the late 16th and early 17th centuries, widely regarded as one of the greatest writers in the English language and world literature.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f0fdd5608190815fa36485df8962 |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a47d2da4488190be3146538a4f3d46 |
completed | March 1, 2026, 5:53 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.