Triple
T35188839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Capitan |
E1016062
|
entity |
| Predicate | hasWorkDerivative |
P196758
|
FINISHED |
| Object | El Capitan March |
—
|
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: El Capitan March | Statement: [El Capitan, hasWorkDerivative, El Capitan March]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkDerivative Context triple: [El Capitan, hasWorkDerivative, El Capitan March]
-
A.
hasDerivative
Indicates that one entity is derived, obtained, or produced from another through some transformation, process, or modification.
-
B.
hasDerivatives
Indicates that one entity is derived, obtained, or developed from another entity.
-
C.
hasDerivativeUse
Indicates that one entity is used as a basis, source, or component for creating or enabling another entity or function.
-
D.
hasDerivativeTerm
Indicates that one term is derived or obtained from another term, typically through a transformation, calculation, or logical inference.
-
E.
hasDerivativeCharacter
Indicates that one character is derived, adapted, or developed from another character.
- F. None of above. chosen
Provenance (4 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe6739d4dc8190ae7505c089bbac29 |
completed | May 8, 2026, 10:44 p.m. |
| PD | Predicate disambiguation | batch_69fe6541dffc81909c66a61ba69f38fc |
completed | May 8, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69fe673905408190a2ae68c2c9563403 |
completed | May 8, 2026, 10:44 p.m. |
Created at: May 3, 2026, 4:02 p.m.