Triple
T17306737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lior Raz |
E420182
|
entity |
| Predicate | basedOnExperienceIn |
P22183
|
FINISHED |
| Object | counterterrorism operations |
—
|
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: counterterrorism operations | Statement: [Lior Raz, basedOnExperienceIn, counterterrorism operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnExperienceIn Context triple: [Lior Raz, basedOnExperienceIn, counterterrorism operations]
-
A.
basedOnExperience
Indicates that something is determined, chosen, or formed according to prior experience or experiential knowledge.
-
B.
basedOnCareerOf
Indicates that something (such as a work, character, or storyline) is derived from, inspired by, or modeled on the career or professional life of a particular person.
-
C.
basedOnExpertiseOf
Indicates that something is determined, derived, or justified using the knowledge, skills, or judgment of a particular expert or group of experts.
-
D.
typeOfExperience
chosen
Indicates that one entity specifies the category or nature of an experience associated with another entity.
-
E.
recommendedExperience
Indicates that a certain level or type of prior experience is advised or preferred for engaging in the related activity, role, or item.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4390005dc81908345ebb6dd970582 |
completed | April 19, 2026, 2:08 a.m. |
| PD | Predicate disambiguation | batch_69e3b01b9d1c8190a406dd941c9b11a1 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:43 a.m.