Triple
T36166310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Voice of the Turtle |
E1046007
|
entity |
| Predicate | hasTitleInUnitedStates |
P89893
|
FINISHED |
| Object | The Voice of the Turtle |
—
|
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: The Voice of the Turtle | Statement: [The Voice of the Turtle, hasTitleInUnitedStates, The Voice of the Turtle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleInUnitedStates Context triple: [The Voice of the Turtle, hasTitleInUnitedStates, The Voice of the Turtle]
-
A.
titleInUnitedStates
chosen
Indicates that an entity holds or is known by a particular title specifically within the context of the United States.
-
B.
originalTitleInUnitedStates
Indicates the title originally used for a work specifically in the United States.
-
C.
unitedTitle
Indicates that multiple titles have been combined or merged into a single, unified title.
-
D.
hasTitleIn
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
-
E.
isNationalTitle
Indicates that something is recognized as an official national-level title, honor, or designation within a country.
- 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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe031bc6208190860099aef72d8dcb |
completed | May 8, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69fe014c8b388190b5d4e0cb95ee2be5 |
completed | May 8, 2026, 3:29 p.m. |
Created at: May 3, 2026, 4:08 p.m.