Triple
T7962044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CyHi |
E184888
|
entity |
| Predicate | roleInProjects |
P45538
|
FINISHED |
| Object | ghostwriter |
—
|
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: ghostwriter | Statement: [CyHi, roleInProjects, ghostwriter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInProjects Context triple: [CyHi, roleInProjects, ghostwriter]
-
A.
roleInvolves
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
-
B.
roleInIndustry
Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
-
C.
workTypeContributedTo
Indicates that an entity contributed to the creation, development, or production of a particular type of work.
-
D.
roleInMissions
Indicates the specific function, duty, or position an entity holds within one or more missions.
-
E.
collaboratorRole
chosen
Indicates the specific function, position, or capacity in which one collaborator participates in a shared activity or project with another.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b9df72081908d33925da10192e9 |
completed | March 31, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69cb0473d7dc8190a25d0cf460b9fcbe |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:12 p.m.