Triple
T6249187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oda Mae Brown |
E140001
|
entity |
| Predicate | assistsIn |
P11876
|
FINISHED |
| Object | exposing Carl Bruner |
—
|
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: exposing Carl Bruner | Statement: [Oda Mae Brown, assistsIn, exposing Carl Bruner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: assistsIn Context triple: [Oda Mae Brown, assistsIn, exposing Carl Bruner]
-
A.
assistsWith
chosen
Indicates that one entity helps or supports another entity in performing or accomplishing a specific task, activity, or objective.
-
B.
assistsLeaderTeam
Indicates that an entity provides help or support to the leader’s team in carrying out its activities or responsibilities.
-
C.
recordAssistsInThatGame
Indicates that one entity achieved the highest number of assists in a particular game.
-
D.
wasAssistedBy
Indicates that an entity carried out an action or achieved a result with the help or support of another entity.
-
E.
topAssistsAssistsPerGame
Indicates that the subject ranks among the top performers in terms of average assists made per game.
- 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0633c5f2081909b0246e061f8a7d9 |
completed | March 22, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69c056037bf88190a0a3fe7429345d0b |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:24 p.m.