Triple
T21041354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tobias Ragg |
E518332
|
entity |
| Predicate | relationshipToMrsLovett |
P142587
|
FINISHED |
| Object | devoted protector |
—
|
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: devoted protector | Statement: [Tobias Ragg, relationshipToMrsLovett, devoted protector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToMrsLovett Context triple: [Tobias Ragg, relationshipToMrsLovett, devoted protector]
-
A.
relationshipToMontresor
Indicates the specific personal or social connection an entity has to Montresor.
-
B.
relationshipToHatter
Indicates the type or nature of a person's relationship or connection to the Hatter.
-
C.
relationshipWithMiladyDeWinter
Indicates a personal or interpersonal connection that an entity has with Milady de Winter, such as familial, romantic, adversarial, or other significant relational ties.
-
D.
relationshipToHarpagon
Indicates the specific familial or social relationship that an entity has to the character Harpagon.
-
E.
relationshipToPatsey
Indicates the nature or type of relationship an entity has with the person or entity named Patsey.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcefe4688190ad1bed1ef2d7a3e5 |
completed | April 21, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf6728881908a2a43a5c8804a2a |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2df1a888190b5b478e76bdf7fdf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:15 p.m.