Triple
T31215932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tip of the Hat, Wag of the Finger |
E795869
|
entity |
| Predicate | basedOnFormatOf |
P131028
|
FINISHED |
| Object | news commentary |
—
|
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: news commentary | Statement: [Tip of the Hat, Wag of the Finger, basedOnFormatOf, news commentary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnFormatOf Context triple: [Tip of the Hat, Wag of the Finger, basedOnFormatOf, news commentary]
-
A.
basedOnShowFormat
chosen
Indicates that one entity’s structure, style, or format is derived from or modeled after the format of a particular show.
-
B.
basedOnBy
Indicates that one entity is derived from, justified by, or constructed using another entity as its source, foundation, or reference.
-
C.
basedOnType
Indicates that one entity is derived, determined, or classified according to the type or category of another entity.
-
D.
basedOnMedium
Indicates that one entity is derived from, adapted from, or created using another entity as its source medium or foundational material.
-
E.
basedOnText
Indicates that something is derived, adapted, or developed from a specific text source.
- 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_69f224d9d52c8190a61f68ded37fa755 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fddd373cdc8190be1b12e70e4deb1f |
completed | May 8, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69fddc6915a88190ad41e379aa3ede13 |
completed | May 8, 2026, 12:51 p.m. |
Created at: April 29, 2026, 9:10 p.m.