Triple
T29247010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zorro II |
E741465
|
entity |
| Predicate | nameFollows |
P9013
|
FINISHED |
| Object | Zorro I (informal designation for original Amiga 1000 side bus) |
—
|
NE NERFINISHED |
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: Zorro I (informal designation for original Amiga 1000 side bus) | Statement: [Zorro II, nameFollows, Zorro I (informal designation for original Amiga 1000 side bus)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameFollows Context triple: [Zorro II, nameFollows, Zorro I (informal designation for original Amiga 1000 side bus)]
-
A.
followsNameOf
chosen
Indicates that one entity’s name comes immediately after another entity’s name in a specified ordering or sequence.
-
B.
followsInName
Indicates that one entity’s name is derived from, modeled after, or intentionally patterned to follow the naming of another entity.
-
C.
namedAfter
Indicates that one entity has been given its name in honor of, or derived from, another entity.
-
D.
namedAccordingTo
Indicates that one entity is given a name that follows, references, or is derived from another entity or source.
-
E.
nameStyle
Indicates how an entity’s name is formatted or stylistically presented (e.g., capitalization, punctuation, or naming convention).
- 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6648a17708190a2b19c610549b5e5 |
completed | May 2, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 12:33 p.m.