Triple
T27061439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lou Brown |
E685052
|
entity |
| Predicate | divisionOfFictionalTeam |
P163905
|
FINISHED |
| Object | American League |
—
|
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: American League | Statement: [Lou Brown, divisionOfFictionalTeam, American League]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: divisionOfFictionalTeam Context triple: [Lou Brown, divisionOfFictionalTeam, American League]
-
A.
fictionalTeam
Indicates that the related entities are members of, or otherwise associated with, the same fictional team within a narrative or imaginary context.
-
B.
partOfFictionalGroup
Indicates that an entity belongs to or is a member of a specific fictional group, organization, or team.
-
C.
portraysFictionalTeam
Indicates that one entity depicts or represents a fictional team within a work or medium.
-
D.
capturedByFictionalGroup
Indicates that an entity is taken prisoner, seized, or otherwise held under the control of a fictional group.
-
E.
usedByFictionalGroup
Indicates that something is utilized or employed by a fictional group or organization within a narrative context.
- 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_69ef14835fcc81908bd737b4267ae528 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6416fbf4081909b0913c337927fc4 |
completed | May 2, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69f63c663be481908f233d25d28713a4 |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 8:22 a.m.