Triple
T37804653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Walking Dead: Michonne |
E942467
|
entity |
| Predicate | hasWeaponAssociatedWithProtagonist |
P33241
|
FINISHED |
| Object | katana |
—
|
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: katana | Statement: [The Walking Dead: Michonne, hasWeaponAssociatedWithProtagonist, katana]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWeaponAssociatedWithProtagonist Context triple: [The Walking Dead: Michonne, hasWeaponAssociatedWithProtagonist, katana]
-
A.
hasWeaponType
Indicates that an entity is associated with or equipped with a specific type or category of weapon.
-
B.
associatedWithWeapon
chosen
Indicates that an entity has a connection or involvement with a weapon, such as ownership, use, presence, or relevance in a given context.
-
C.
weaponryCarried
Indicates that one entity is carrying or equipped with a weapon or set of weapons in relation to another entity or context.
-
D.
hasBloodCompactWith
Indicates that two entities have entered into a formal blood compact, symbolizing a mutual pact or alliance sealed through a blood-related ritual.
-
E.
hasWeaponOption
Indicates that an entity has a particular weapon available as a selectable or usable option.
- 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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:19 p.m.