Triple
T36344338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derwin Davis |
E895020
|
entity |
| Predicate | jerseyNumberInFiction |
P145971
|
FINISHED |
| Object | 19 |
—
|
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: 19 | Statement: [Derwin Davis, jerseyNumberInFiction, 19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jerseyNumberInFiction Context triple: [Derwin Davis, jerseyNumberInFiction, 19]
-
A.
wornByFictionalCharacter
chosen
Indicates that a particular item (such as clothing or accessories) is worn by a specific fictional character.
-
B.
fictionalLeague
Indicates that an entity is associated with or belongs to a league that exists only in fiction rather than in reality.
-
C.
symbolInFiction
Indicates that something functions as a symbolic element within a fictional work or narrative.
-
D.
worksInFictionalContext
Indicates that an entity performs work or fulfills a role within a fictional or imagined setting rather than in real-world circumstances.
-
E.
createsInFiction
Indicates that one entity is the creator or originator of another entity within a fictional or narrative context.
- 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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:09 p.m.