Triple
T36445601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verges |
E897860
|
entity |
| Predicate | relationshipToDogberry |
P204875
|
FINISHED |
| Object | subordinate |
—
|
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: subordinate | Statement: [Verges, relationshipToDogberry, subordinate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToDogberry Context triple: [Verges, relationshipToDogberry, subordinate]
-
A.
relationshipToTheDude
Indicates the specific type of personal or social relationship that one entity has to the individual referred to as "the Dude."
-
B.
relationshipToDonGiovanni
Indicates the specific interpersonal or social connection an entity has with Don Giovanni.
-
C.
relationshipToVolpone
Indicates the type of personal or social connection an entity has to Volpone (e.g., familial, social, or relational role).
-
D.
relationshipToMrsLovett
Indicates the specific personal or social relationship that an entity has to Mrs. Lovett.
-
E.
relationshipToPonyboy
Indicates the specific way an entity is connected or related to Ponyboy.
- 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_69f76e5720b481908f8177ac24a7560b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:10 p.m.