Triple
T33310711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Baptiste Emanuel Zorg |
E852867
|
entity |
| Predicate | weaponManufacturer |
P4022
|
FINISHED |
| Object | Zorg ZF-1 pod weapon |
—
|
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: Zorg ZF-1 pod weapon | Statement: [Jean-Baptiste Emanuel Zorg, weaponManufacturer, Zorg ZF-1 pod weapon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weaponManufacturer Context triple: [Jean-Baptiste Emanuel Zorg, weaponManufacturer, Zorg ZF-1 pod weapon]
-
A.
wingManufacturer
Indicates that one entity is the manufacturer or producer of the wing component used by another entity.
-
B.
turretManufacturer
Indicates that one entity is the manufacturer or producer of a turret associated with another entity.
-
C.
manufacturedBy
chosen
Indicates that an item or product is produced or created by a specific manufacturer or maker.
-
D.
notableManufacturer
Indicates that an entity is a well-known or prominent producer or maker of another entity.
-
E.
alsoManufacturedBy
Indicates that an item or product is produced by an additional manufacturer beyond the primary or previously mentioned one.
- 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_69f349679fd8819093b9b40e989440e3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:33 a.m.