Triple
T29561971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Army of the Republic |
E750060
|
entity |
| Predicate | templateForClones |
P70577
|
FINISHED |
| Object | Jango Fett |
—
|
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: Jango Fett | Statement: [Grand Army of the Republic, templateForClones, Jango Fett]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: templateForClones Context triple: [Grand Army of the Republic, templateForClones, Jango Fett]
-
A.
cloneGeneration
Indicates the creation of a new entity as an exact or near-exact copy (clone) of an existing entity.
-
B.
قالب
chosen
Indicates a template or mold relationship, where one entity serves as a predefined pattern or structural format used to shape, generate, or standardize another entity.
-
C.
defaultTemplate
Indicates that something serves as the standard or pre-defined pattern or structure used when no specific alternative is chosen.
-
D.
cloneCondition
Indicates that one entity is a duplicate or replication of another under the same specified conditions or parameters.
-
E.
replicaOf
Indicates that one entity is an exact or near-exact copy of another entity, preserving its form, structure, or content.
- 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_69f0bd4919e48190942b2a13d5b97d03 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66d7765208190b87b1cc6d96a151c |
completed | May 2, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 5:20 p.m.