Triple
T15987573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Devane |
E387735
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object | DVX |
E1187960
|
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: DVX | Statement: [Anna Devane, enemyOf, DVX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DVX Context triple: [Anna Devane, enemyOf, DVX]
-
A.
DVX
chosen
DVX is a fictional covert intelligence agency in the soap opera "General Hospital," often depicted as a rival to the WSB and involved in espionage and criminal plots.
-
B.
DV-5
DV-5 is a fictional mining robot from Isaac Asimov’s science fiction story “Catch That Rabbit,” notable for its puzzling group behavior under the Three Laws of Robotics.
-
C.
VDP
VDP is a networking protocol used to automatically discover and configure virtual devices or ports in virtualized environments.
-
D.
DV
DV is the commonly used abbreviation for the U.S. Diversity Immigrant Visa program, which allocates permanent resident visas by lottery to individuals from countries with historically low rates of immigration to the United States.
-
E.
DV
DV is the standard abbreviation for *Dei Verbum*, the Second Vatican Council’s Dogmatic Constitution on Divine Revelation.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1575993948190a05d60fc9d0c05fa |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf1cb1388190b1ebccc6705e5974 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:54 a.m.