Triple
T15893461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Gaddis |
E385387
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Agapē Agape |
E1182763
|
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: Agapē Agape | Statement: [William Gaddis, wrote, Agapē Agape]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agapē Agape Context triple: [William Gaddis, wrote, Agapē Agape]
-
A.
Agapē Agape
chosen
Agapē Agape is a posthumously published, experimental novel by William Gaddis that blends essay and fiction to meditate on art, technology, and the decline of high culture.
-
B.
Philophrosyne
Philophrosyne is a minor Greek goddess personifying kindness, welcome, and friendliness, often associated with the Charites (Graces).
-
C.
Agapi
Agapi is a small traditional village on the Greek island of Tinos, known for its Cycladic architecture and tranquil rural character.
-
D.
Philia
Philia is the beautiful but naive young courtesan who serves as the primary love interest in the musical comedy "A Funny Thing Happened on the Way to the Forum."
-
E.
Philotes
Philotes is a minor Greek goddess personifying friendship, affection, and social bonds.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563727cc819086b5c18b655dd7f6 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5a1b1548190a8579cebf9e71121 |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 4:51 a.m.