Triple
T33917771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Ho |
E869512
|
entity |
| Predicate | countryOfEspionageBackground |
P203057
|
FINISHED |
| Object | China |
E5561
|
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: China | Statement: [Bob Ho, countryOfEspionageBackground, China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfEspionageBackground Context triple: [Bob Ho, countryOfEspionageBackground, China]
-
A.
countryOfFictionalOperation
Indicates the country in which a fictional operation, mission, or storyline is set or takes place.
-
B.
nationalityOfRealIdentity
Indicates that a specified nationality is the real-world national affiliation of an entity’s true identity.
-
C.
projectCountryAtTheTime
Indicates the country with which a project was associated at the specific time or period in question.
-
D.
nationalityInStory
Indicates that a character or entity in a narrative is associated with a particular nationality within the context of that story.
-
E.
countryOfMissionOrigin
Indicates the country from which a mission originates or is launched.
- F. None of above. chosen
Provenance (5 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_6a0119132e848190820a688d139fbf75 |
completed | May 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36823095ac819089a169744f43d075 |
completed | June 20, 2026, 12:06 p.m. |
| PD | Predicate disambiguation | batch_6a01188dfdec8190b7f675264a281733 |
completed | May 10, 2026, 11:45 p.m. |
| PDg | Predicate description generation | batch_6a0119127ca481909e921e7d95716b00 |
completed | May 10, 2026, 11:47 p.m. |
Created at: May 1, 2026, 1:49 a.m.