Triple
T11992165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Tavener |
E285432
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Lamb
The Lamb is a choral composition by British composer John Tavener, renowned for its serene, minimalist setting of William Blake’s poem of the same name.
|
E958538
|
NE FINISHED |
How this triple was built (4 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 Lamb | Statement: [John Tavener, notableWork, The Lamb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Lamb Context triple: [John Tavener, notableWork, The Lamb]
-
A.
The Lamb
The Lamb is a small uninhabited rocky islet in the Firth of Forth, Scotland, known for its seabird colonies and proximity to the island of Fidra.
-
B.
The Tyger
"The Tyger" is a famous poem by William Blake that explores themes of creation, innocence, and experience through the striking image of a fearsome tiger.
-
C.
Fern Hill
Fern Hill is a celebrated lyrical poem by Dylan Thomas that nostalgically reflects on the innocence and transience of childhood.
-
D.
The Shepherd
The Shepherd is a pastoral painting by Dutch Golden Age artist Abraham Bloemaert, exemplifying his refined treatment of rural subjects and atmospheric landscapes.
-
E.
the Lamb
The Lamb is a title for Jesus Christ in Christian theology, emphasizing his sacrificial role in humanity’s redemption.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: The Lamb Triple: [John Tavener, notableWork, The Lamb]
Generated description
The Lamb is a choral composition by British composer John Tavener, renowned for its serene, minimalist setting of William Blake’s poem of the same name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Lamb Target entity description: The Lamb is a choral composition by British composer John Tavener, renowned for its serene, minimalist setting of William Blake’s poem of the same name.
-
A.
The Lamb
The Lamb is a small uninhabited rocky islet in the Firth of Forth, Scotland, known for its seabird colonies and proximity to the island of Fidra.
-
B.
The Tyger
"The Tyger" is a famous poem by William Blake that explores themes of creation, innocence, and experience through the striking image of a fearsome tiger.
-
C.
Fern Hill
Fern Hill is a celebrated lyrical poem by Dylan Thomas that nostalgically reflects on the innocence and transience of childhood.
-
D.
The Shepherd
The Shepherd is a pastoral painting by Dutch Golden Age artist Abraham Bloemaert, exemplifying his refined treatment of rural subjects and atmospheric landscapes.
-
E.
the Lamb
The Lamb is a title for Jesus Christ in Christian theology, emphasizing his sacrificial role in humanity’s redemption.
- F. None of above. chosen
Provenance (5 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903b11ac481909866b611380792e7 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4726696dc8190bf2a7aa43cb08b19 |
completed | May 1, 2026, 9:29 a.m. |
| NEDg | Description generation | batch_69f47b7d4ef081908f7f87d90c00d9ed |
completed | May 1, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f47de8c9e48190af01918c9cd94c7d |
completed | May 1, 2026, 10:18 a.m. |
Created at: April 8, 2026, 9:46 p.m.