Triple
T4768337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michal |
E105865
|
entity |
| Predicate | deceived |
P7322
|
FINISHED |
| Object | Saul’s messengers |
—
|
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: Saul’s messengers | Statement: [Michal, deceived, Saul’s messengers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deceived Context triple: [Michal, deceived, Saul’s messengers]
-
A.
tricked
chosen
Indicates that one entity intentionally deceived another into believing something false or acting under a false impression.
-
B.
betrayed
Indicates that one entity has broken the trust, loyalty, or confidence of another, typically by acting against their interests or revealing something meant to be kept secret.
-
C.
allegedImpostor
Indicates that one entity is claimed or suspected to be fraudulently posing as another entity.
-
D.
blinded
Indicates that one entity causes another to lose the ability to see, either temporarily or permanently.
-
E.
seducedBy
Indicates that one entity has been romantically or sexually enticed, persuaded, or lured into intimacy or a relationship by another entity.
- 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6537eb80819096e0ae906c59d605 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6229d8448190a271719e5e30fd82 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.