Triple
T12944968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tashtego |
E309736
|
entity |
| Predicate | raceInFiction |
P59920
|
FINISHED |
| Object | Indigenous American |
—
|
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: Indigenous American | Statement: [Tashtego, raceInFiction, Indigenous American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceInFiction Context triple: [Tashtego, raceInFiction, Indigenous American]
-
A.
raceRole
Indicates the specific role, position, or function an entity holds within a race or racing event.
-
B.
relatedRace
Indicates that there is a connection or association between two races, such as similarity, relevance, or contextual linkage.
-
C.
racialIdentity
chosen
Indicates the relationship between an entity and the racial group or classification with which it is identified or categorized.
-
D.
fictionalEthnoCulturalIdentity
Indicates that an entity is associated with an invented or imaginary ethnic or cultural identity, rather than a real-world one.
-
E.
womenRaceFirstEdition
Indicates that the subject participated in the women’s race of the first edition of a given event or competition.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:43 p.m.