Triple
T33045210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Williams Racing Cars |
E845574
|
entity |
| Predicate | isEarlyTeamOf |
P175734
|
FINISHED |
| Object | Frank Williams |
—
|
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: Frank Williams | Statement: [Frank Williams Racing Cars, isEarlyTeamOf, Frank Williams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEarlyTeamOf Context triple: [Frank Williams Racing Cars, isEarlyTeamOf, Frank Williams]
-
A.
hasTeamFor
Indicates that an entity possesses, is associated with, or is responsible for a specific team designated for a particular purpose or context.
-
B.
memberTeam
Indicates that an entity belongs to or is part of a specific team.
-
C.
stateTeamOf
Indicates that one entity is the official team representing a particular state associated with another entity.
-
D.
hasPartInTeamLegacy
Indicates that an entity contributes to or is included as a component of a team's enduring history, heritage, or long-term legacy.
-
E.
associatedTeamName
Indicates the name of the team that is linked or connected to a given 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_69f3495242e48190996a2cb2beab5455 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d6a482fc8190b526291cd99b8696 |
completed | May 3, 2026, 5:01 a.m. |
Created at: May 1, 2026, 1:24 a.m.