Triple
T15895270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Mind at Peace |
E385437
|
entity |
| Predicate | originalTitle |
P65
|
FINISHED |
| Object | Huzur |
E385436
|
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: Huzur | Statement: [A Mind at Peace, originalTitle, Huzur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huzur Context triple: [A Mind at Peace, originalTitle, Huzur]
-
A.
Huzur
chosen
Huzur is a renowned novel by Turkish author Ahmet Hamdi Tanpınar that explores themes of love, identity, and existential anxiety in pre-World War II Istanbul.
-
B.
Mürefte
Mürefte is a coastal town in northwestern Turkey renowned for its vineyards and wine production.
-
C.
Buray
Buray is a barangay (village-level administrative division) in the Philippines, forming part of the local jurisdiction that includes Oton.
-
D.
Buniyaad
Buniyaad is a landmark Indian television drama series that aired in the late 1980s, depicting the impact of the Partition of India on a Punjabi family.
-
E.
Multazam
Multazam is the small sacred area between the Black Stone and the door of the Kaaba where pilgrims supplicate, believing prayers there are especially accepted.
- 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_69e15638f5bc81908de13f4b6a52b60c |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb04b55ec8190a5b3513b2afa4f83 |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:51 a.m.