Triple
T34958011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naomi Wildman |
E1008170
|
entity |
| Predicate | relationshipToSevenOfNine |
P206765
|
FINISHED |
| Object | protégé |
—
|
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: protégé | Statement: [Naomi Wildman, relationshipToSevenOfNine, protégé]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToSevenOfNine Context triple: [Naomi Wildman, relationshipToSevenOfNine, protégé]
-
A.
relationshipToHeed
Indicates a relationship in which one entity is expected to pay attention to, respect, or follow the guidance, warnings, or wishes of another entity.
-
B.
relationshipTo6ix9ine
Indicates a personal, professional, or social connection that an entity has with the individual known as 6ix9ine.
-
C.
relationshipToOtherSefirot
Indicates how one sefirah is connected or related to other sefirot within the overall structure or network of sefirot.
-
D.
relationshipToKlaatu
Indicates the specific familial, social, or professional relationship that one entity has to the entity named Klaatu.
-
E.
relationshipToEva
Indicates a specified type of personal or social relationship that an entity has with Eva.
- 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_69f76dc69564819099e9e78aed6ff0a6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4 p.m.