Triple
T18650410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qusayy ibn Kilab |
E455917
|
entity |
| Predicate | generationDistanceToMuhammad |
P80542
|
FINISHED |
| Object | 4th great-grandfather |
—
|
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: 4th great-grandfather | Statement: [Qusayy ibn Kilab, generationDistanceToMuhammad, 4th great-grandfather]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: generationDistanceToMuhammad Context triple: [Qusayy ibn Kilab, generationDistanceToMuhammad, 4th great-grandfather]
-
A.
generationRelativeToMuhammad
chosen
Indicates the generational relationship of a person or group in relation to the Prophet Muhammad (e.g., ancestor, contemporary, or descendant generation).
-
B.
ageDifferenceWithMuhammad
Indicates the age difference between a given person and Muhammad.
-
C.
distanceFromMecca
Indicates the measured spatial distance between a given location and the city of Mecca.
-
D.
distanceFromMeccaApprox
Indicates an approximate measure of how far something is located from Mecca.
-
E.
timeWithMuhammad
Indicates that one entity spends or has spent time together with Muhammad.
- F. None of above.
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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55010d27c8190aad8d3c9e8cd31b2 |
completed | April 19, 2026, 9:58 p.m. |
| PD | Predicate disambiguation | batch_69e478d85864819093cbad5ed9b54878 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:47 a.m.