Triple
T28294116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brown-Tubbs family |
E713510
|
entity |
| Predicate | hasProtagonistMember |
P24067
|
FINISHED |
| Object | Cleveland Brown |
—
|
NE NERFINISHED |
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: Cleveland Brown | Statement: [Brown-Tubbs family, hasProtagonistMember, Cleveland Brown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProtagonistMember Context triple: [Brown-Tubbs family, hasProtagonistMember, Cleveland Brown]
-
A.
hasProtagonist
Indicates that a work of narrative has a main character who serves as its central focus or driving agent.
-
B.
hasProtagonistGroup
chosen
Indicates that a narrative work features a central group of characters who collectively serve as the main protagonists.
-
C.
hasHumanProtagonists
Indicates that the primary characters driving the narrative are human beings rather than non-human entities.
-
D.
hasSpiritProtagonist
Indicates that the primary or central character in a narrative is a spirit or non-corporeal being.
-
E.
hasProtagonistClass
Indicates that a work’s main character belongs to a specified class or category.
- F. None of above.
Provenance (3 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69febce5877c8190a5e000ef5331ec88 |
completed | May 9, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69febad1cd588190abc7686bcb39a371 |
completed | May 9, 2026, 4:40 a.m. |
Created at: April 27, 2026, 11:31 p.m.