Triple
T21039769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Sinatra as Major Bennett Marco |
E518289
|
entity |
| Predicate | characterRank |
P110719
|
FINISHED |
| Object | Major |
—
|
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: Major | Statement: [Frank Sinatra as Major Bennett Marco, characterRank, Major]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: characterRank Context triple: [Frank Sinatra as Major Bennett Marco, characterRank, Major]
-
A.
chronRank
Indicates the relative chronological order or ranking of events or time-related entities with respect to one another.
-
B.
rankingRole
chosen
Indicates that one entity holds a specific position or level in an ordered hierarchy or ranking relative to others.
-
C.
protagonistRank
Indicates the relative narrative importance or centrality of a character within a story, typically ranking how primary they are as a protagonist compared to others.
-
D.
rankGrade
Indicates the grade or level assigned to an entity within a ranking or evaluation system.
-
E.
rankSignificance
Indicates how important or influential one entity is relative to others within a specified context or ordering.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fceed9148190903adb3b55f65242 |
completed | April 21, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf6728881908a2a43a5c8804a2a |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:14 p.m.