Triple
T33917781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Ho |
E869512
|
entity |
| Predicate | worksForContext |
P5820
|
FINISHED |
| Object | Chinese intelligence agency |
—
|
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: Chinese intelligence agency | Statement: [Bob Ho, worksForContext, Chinese intelligence agency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worksForContext Context triple: [Bob Ho, worksForContext, Chinese intelligence agency]
-
A.
worksFor
chosen
Indicates that one entity is employed by or performs work on behalf of another entity, typically an organization or individual.
-
B.
worksAs
Indicates that an entity performs the role, job, or occupation specified by another entity.
-
C.
works in
Indicates that one entity performs their job or professional activities within the organization, location, or context represented by another entity.
-
D.
worksTo
Indicates that one entity performs work or exerts effort in order to achieve, support, or contribute to another entity or outcome.
-
E.
implementedInContextOf
Indicates that something (such as a method, feature, or process) is carried out or realized within a particular surrounding situation, framework, or set of conditions.
- 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_69f349992c508190aa4afa24a086cc8c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 1, 2026, 1:49 a.m.