Triple
T27605572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Ingram |
E700169
|
entity |
| Predicate | confessionInfluencedBy |
P87217
|
FINISHED |
| Object | suggestive and coercive interrogation techniques |
—
|
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: suggestive and coercive interrogation techniques | Statement: [Paul Ingram, confessionInfluencedBy, suggestive and coercive interrogation techniques]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: confessionInfluencedBy Context triple: [Paul Ingram, confessionInfluencedBy, suggestive and coercive interrogation techniques]
-
A.
confessionalInfluence
Indicates the extent to which one party’s religious or doctrinal confession shapes, guides, or impacts another party’s beliefs, practices, or decisions.
-
B.
wereInfluencedBy
chosen
Indicates that one entity’s ideas, actions, or characteristics were shaped or affected by another entity.
-
C.
influencedIn
Indicates that one entity had an effect on or shaped another entity within a specific context, domain, or setting.
-
D.
confessionAuthored
Indicates that one entity is the creator or writer of a particular confession made or recorded by another entity.
-
E.
influencesFromAuthor
Indicates that one entity is affected or shaped by the actions, ideas, or characteristics of an author.
- 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_69ef6a4e2e208190b63b7268f405785c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 27, 2026, 2:09 p.m.