Triple
T8738298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Gardner (British writer) |
E207438
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Madrigal
Madrigal is a novel by British author John Gardner that showcases his distinctive blend of literary sophistication and inventive storytelling.
|
E754773
|
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: Madrigal | Statement: [John Gardner (British writer), notableWork, Madrigal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madrigal Context triple: [John Gardner (British writer), notableWork, Madrigal]
-
A.
Sorraia
Sorraia is a river in central Portugal that flows through the Ribatejo region before joining the Tagus River.
-
B.
Davila
Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
-
C.
Baltasar
Baltasar is a variant of the name Belshazzar, historically associated with the last king of Babylon mentioned in the biblical Book of Daniel.
-
D.
Usnavi de la Vega
Usnavi de la Vega is the bodega owner and central narrator of Lin-Manuel Miranda’s musical "In the Heights," whose story anchors the show’s portrait of a tight-knit Latino community in Washington Heights.
-
E.
Albayzín
Albayzín is the historic Moorish quarter of Granada, Spain, known for its narrow winding streets, whitewashed houses, and iconic views of the Alhambra.
- 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: Madrigal Triple: [John Gardner (British writer), notableWork, Madrigal]
Generated description
Madrigal is a novel by British author John Gardner that showcases his distinctive blend of literary sophistication and inventive storytelling.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Madrigal Target entity description: Madrigal is a novel by British author John Gardner that showcases his distinctive blend of literary sophistication and inventive storytelling.
-
A.
Sorraia
Sorraia is a river in central Portugal that flows through the Ribatejo region before joining the Tagus River.
-
B.
Davila
Davila is an Italian surname most notably associated with the 17th-century historian Enrico Caterino Davila.
-
C.
Baltasar
Baltasar is a variant of the name Belshazzar, historically associated with the last king of Babylon mentioned in the biblical Book of Daniel.
-
D.
Usnavi de la Vega
Usnavi de la Vega is the bodega owner and central narrator of Lin-Manuel Miranda’s musical "In the Heights," whose story anchors the show’s portrait of a tight-knit Latino community in Washington Heights.
-
E.
Albayzín
Albayzín is the historic Moorish quarter of Granada, Spain, known for its narrow winding streets, whitewashed houses, and iconic views of the Alhambra.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d470c8c81909ead395ef704c6ba |
completed | March 31, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42d5dd508190854fbbc2541aa819 |
completed | April 3, 2026, 4:32 a.m. |
| NEDg | Description generation | batch_69cf440051bc8190ad9d649150187932 |
completed | April 3, 2026, 4:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf4473ee0081908ed22eb0d855d7dd |
completed | April 3, 2026, 4:39 a.m. |
Created at: March 30, 2026, 6:38 p.m.