Triple
T19974095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Russo |
E493641
|
entity |
| Predicate | typicallyPlays |
P138103
|
FINISHED |
| Object | criminal characters |
—
|
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: criminal characters | Statement: [James Russo, typicallyPlays, criminal characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicallyPlays Context triple: [James Russo, typicallyPlays, criminal characters]
-
A.
isTypicallyPlayed
Indicates that an activity, game, or sport is commonly engaged in or performed by a particular type of participant or group.
-
B.
typicallyPlayedAt
Indicates that an activity, event, or game is most commonly or usually performed in a particular location or setting.
-
C.
playsOn
Indicates that one entity participates or performs on a particular team, platform, or medium.
-
D.
playedUnder
Indicates that one person participated as a player on a team or in a context where another person served as their coach or manager.
-
E.
playsWith
Indicates that one entity engages in play or recreational activity together with another entity.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65bcb72048190aedb4f085ace0493 |
completed | April 20, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69e537fae79c81909eae39500766d0b6 |
completed | April 19, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69e543c42c688190a22f4d31ec692377 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 11, 2026, 3:23 p.m.