Triple
T671980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maid Marian |
E12990
|
entity |
| Predicate | relationshipToGroup |
P12263
|
FINISHED |
| Object | member of Robin Hood’s band |
—
|
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: member of Robin Hood’s band | Statement: [Maid Marian, relationshipToGroup, member of Robin Hood’s band]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToGroup Context triple: [Maid Marian, relationshipToGroup, member of Robin Hood’s band]
-
A.
relationshipType
Indicates the specific kind of relationship that exists between two or more entities.
-
B.
relationshipToHumans
Indicates the nature or type of connection, association, or relevance that something has specifically with humans.
-
C.
belongsToGroup
chosen
Indicates that an entity is a member of, or is included within, a particular group or collection.
-
D.
relationshipManaged
Indicates that one entity oversees, directs, or maintains responsibility for the ongoing management of a relationship involving another entity.
-
E.
socialGroupInvolved
Indicates that a particular social group participates in, is affected by, or is otherwise involved in the specified event or situation.
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a1b3682c8190a9b9a454480c3446 |
completed | March 1, 2026, 8:29 p.m. |
| PD | Predicate disambiguation | batch_69a49d1a16c48190af89e3b078a4957e |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.