Triple
T12633845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Lombard |
E301708
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Sentences |
E87740
|
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: Sentences | Statement: [Peter Lombard, notableWork, Sentences]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sentences Context triple: [Peter Lombard, notableWork, Sentences]
-
A.
Sentence_Break
Sentence_Break is a Unicode text segmentation property used to determine where sentence boundaries occur in a stream of characters.
-
B.
Statements
Statements is a curated sector of the Art Basel fair dedicated to showcasing solo presentations by emerging and experimental contemporary artists.
-
C.
Sentmenat
Sentmenat is a municipality in the comarca of Vallès Occidental in Catalonia, northeastern Spain.
-
D.
Words
"Words" is a popular song by the Bee Gees, notable for its gentle melody and heartfelt lyrics that have made it a classic ballad.
-
E.
Commentary on the Sentences
chosen
Commentary on the Sentences is a major early theological work by St. Thomas Aquinas, consisting of his extensive exposition and analysis of Peter Lombard’s foundational medieval theology textbook, the Sentences.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610fab488190ac6e6d5cf056ae37 |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66871998c8190af8bd3f9ec596ada |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:15 p.m.