Triple
T9694909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khalid Sheikh Mohammed |
E234622
|
entity |
| Predicate | numberOfTimesWaterboarded |
P34822
|
FINISHED |
| Object | 183 |
—
|
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: 183 | Statement: [Khalid Sheikh Mohammed, numberOfTimesWaterboarded, 183]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfTimesWaterboarded Context triple: [Khalid Sheikh Mohammed, numberOfTimesWaterboarded, 183]
-
A.
waterboardedTimes
chosen
Indicates the number of times an entity has been subjected to waterboarding.
-
B.
numberOfTortureVictims
Indicates the quantity of individuals who have been subjected to torture.
-
C.
useOfTorture
Indicates the intentional infliction or use of torture by one entity upon another, typically to punish, coerce, intimidate, or extract information.
-
D.
numberOfVictimsClaimedInTestimony
Indicates the quantity of victims that a person asserts or reports in their testimony.
-
E.
torturedAt
Indicates that an entity was subjected to torture at a specific location or facility.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d366c488190bc153c68fef197c2 |
completed | April 1, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69ccd5b9e93c8190947cce56a3925364 |
completed | April 1, 2026, 8:22 a.m. |
Created at: March 30, 2026, 8:17 p.m.