Triple
T22171540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skyscraper Souls |
E547929
|
entity |
| Predicate | titleCharacterType |
P60013
|
FINISHED |
| Object | skyscraper building |
—
|
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: skyscraper building | Statement: [Skyscraper Souls, titleCharacterType, skyscraper building]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleCharacterType Context triple: [Skyscraper Souls, titleCharacterType, skyscraper building]
-
A.
typeOfCharacter
chosen
Indicates that one entity is a specific kind or category of character in relation to another entity.
-
B.
characterTitle
Indicates that a character holds or is associated with a specific title, rank, or formal designation.
-
C.
titleCharacterString
Indicates that one entity is the textual string representing the title associated with another entity.
-
D.
helpsCharacterType
Indicates that one character type provides assistance or support to another character type.
-
E.
titleCharacterNamedAfter
Indicates that a work’s title character is named after, or shares their name with, another specific entity.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a68c26c8190b1258595bd96cb63 |
completed | April 28, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:34 p.m.