Triple
T27773028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Susan McAlester |
E701806
|
entity |
| Predicate | speciesStudied |
P51389
|
FINISHED |
| Object | mako sharks |
—
|
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: mako sharks | Statement: [Dr. Susan McAlester, speciesStudied, mako sharks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speciesStudied Context triple: [Dr. Susan McAlester, speciesStudied, mako sharks]
-
A.
studiedOrganism
chosen
Indicates that an entity conducted study or research on a particular organism.
-
B.
studiedInSpecies
Indicates that a particular study, observation, or experiment was conducted using or within the specified species.
-
C.
speciesType
Indicates the specific biological species category to which an entity belongs.
-
D.
notableCreatureStudied
Indicates that a particular creature has been the subject of significant study or research by the referenced entity.
-
E.
hasScientificSpecies
Indicates that an entity is associated with a specific scientific (Latin) species name.
- 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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 4:36 p.m.