Triple
T21932555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Kindly Ones |
E541603
|
entity |
| Predicate | seriesNumberInA Dance to the Music of Time |
P146604
|
FINISHED |
| Object | 6 |
—
|
LITERAL 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: 6 | Statement: [The Kindly Ones, seriesNumberInA Dance to the Music of Time, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seriesNumberInA Dance to the Music of Time Context triple: [The Kindly Ones, seriesNumberInA Dance to the Music of Time, 6]
-
A.
זמנם
Indicates a relationship involving the time allotted to, belonging to, or associated with certain entities (e.g., “their time”).
-
B.
תקופת חיים משוערת
Indicates an estimated or approximate time period during which the entity existed or was alive.
-
C.
bookSeriesEndYear
Indicates the calendar year in which a book series was concluded or last published.
-
D.
عدد الحروف
Indicates the relationship that specifies the number of letters contained in a given word or text.
-
E.
L'Aiglon
Indicates a relationship to the work titled "L'Aiglon," such as authorship, performance, adaptation, or other direct involvement with that specific play or its derivative productions.
- F. None of above. chosen
Provenance (4 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f123ffde64819084a869d2d569718f |
completed | April 28, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
| PDg | Predicate description generation | batch_69e6fb6991948190a428c3c3bfd1c3b8 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 7:47 p.m.