Triple
T33731240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Armorer |
E864280
|
entity |
| Predicate | givesTitleTo |
P69419
|
FINISHED |
| Object | Din Djarin as "Clan of Two" |
—
|
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: Din Djarin as "Clan of Two" | Statement: [The Armorer, givesTitleTo, Din Djarin as "Clan of Two"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: givesTitleTo Context triple: [The Armorer, givesTitleTo, Din Djarin as "Clan of Two"]
-
A.
decidesTitleOf
Indicates that one entity has the authority or role to determine and assign the title of another entity.
-
B.
tookTitleFrom
Indicates that one entity adopted or derived its title, name, or designation from another entity.
-
C.
namedForTitle
Indicates that one entity is named after or in honor of the title (such as a rank, honorific, or formal designation) associated with another entity.
-
D.
hasTitleFrom
chosen
Indicates that one entity holds or uses a title that originates from, or is conferred by, another entity.
-
E.
usesTitleIn
Indicates that an entity is referred to using a particular title within a specified context or medium.
- 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_69f3498a64cc8190b4b414c67b280d93 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:44 a.m.