Triple
T38671312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doug Chesnic |
E940597
|
entity |
| Predicate | assignedToProtect |
P957
|
FINISHED |
| Object | Tess Carlisle |
E959123
|
NE 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: Tess Carlisle | Statement: [Doug Chesnic, assignedToProtect, Tess Carlisle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assignedToProtect Context triple: [Doug Chesnic, assignedToProtect, Tess Carlisle]
-
A.
assignedTo
Indicates that responsibility for a task, item, or role has been designated to a specific entity.
-
B.
protectedBy
chosen
Indicates that one entity provides protection, defense, or safeguarding for another entity.
-
C.
assignedAs
Indicates that one entity is designated or appointed to perform a specific role, task, or function in relation to another entity.
-
D.
assignedToSecurityType
Indicates that something has been designated or linked to a particular security classification or security instrument type.
-
E.
believedToProtect
Indicates that one entity is thought or assumed to provide protection or defense for another entity.
- F. None of above.
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_69f76edfde348190bf6529d9f49ecd62 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41fd6d9d0c81908984cf76f5455fa1 |
completed | June 29, 2026, 5:06 a.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:33 p.m.