Triple
T20416375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moth |
E500722
|
entity |
| Predicate | relationshipWithDonArmado |
P140059
|
FINISHED |
| Object | servant |
—
|
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: servant | Statement: [Moth, relationshipWithDonArmado, servant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithDonArmado Context triple: [Moth, relationshipWithDonArmado, servant]
-
A.
relationshipToCarmen
Indicates the specific type of personal or social relationship an entity has with Carmen.
-
B.
relationshipToDonJohn
Indicates a familial, social, or emotional connection that one entity has specifically toward Don John.
-
C.
relationshipToTheDude
Indicates the specific type of personal or social relationship that one entity has to the individual referred to as "the Dude."
-
D.
relationshipToArmandAubigny
Indicates the specific nature of the relationship an entity has with Armand Aubigny.
-
E.
relationshipTypeWith Aureliano Segundo
Indicates the specific nature or category of relational connection that an entity has with Aureliano Segundo.
- F. None of above. chosen
Provenance (4 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a4437448190b07b6e6e3de5830f |
completed | April 20, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69e5766df0008190a73c4f613c29678f |
completed | April 20, 2026, 12:42 a.m. |
| PDg | Predicate description generation | batch_69e58d766b408190a1d3698145fb6d30 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:30 a.m.