Triple
T36785796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Dane |
E908907
|
entity |
| Predicate | relationshipTypeWithJasonNesmith |
P205045
|
FINISHED |
| Object | professional rivalry and eventual respect |
—
|
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: professional rivalry and eventual respect | Statement: [Alexander Dane, relationshipTypeWithJasonNesmith, professional rivalry and eventual respect]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithJasonNesmith Context triple: [Alexander Dane, relationshipTypeWithJasonNesmith, professional rivalry and eventual respect]
-
A.
relationshipTypeWithJoshSrebnick
Indicates the specific nature or category of the relationship that an entity has with Josh Srebnick.
-
B.
relationshipTypeWithJeffSadecki
Indicates the specific nature or category of relationship that an entity has with Jeff Sadecki.
-
C.
relationshipTypeWithJesse
Indicates the specific type or nature of the relationship that an entity has with Jesse.
-
D.
relationshipTypeWithNedDorsey
Indicates the specific nature or category of relationship that an entity has with Ned Dorsey.
-
E.
relationshipTypeWithJerryPayne
Indicates the specific nature or category of relationship that an entity has with Jerry Payne.
- 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_69f76e7a937c81909ed7359641e670f6 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
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, 4:12 p.m.