Triple
T35753005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paddy Lowe |
E1033364
|
entity |
| Predicate | roleAtWilliams |
P184090
|
FINISHED |
| Object | chief technical officer |
—
|
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: chief technical officer | Statement: [Paddy Lowe, roleAtWilliams, chief technical officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtWilliams Context triple: [Paddy Lowe, roleAtWilliams, chief technical officer]
-
A.
roleInTennis
Indicates the specific function or position an entity holds within the context of tennis (e.g., player, coach, umpire).
-
B.
roleInTheWay
Indicates that one entity is obstructing, hindering, or otherwise blocking another entity’s progress, action, or intended path.
-
C.
roleAtStadium
Indicates that an entity holds a specific role, function, or position associated with a particular stadium.
-
D.
roleInAmy
Indicates that an entity has a specific role or function within the context of Amy (e.g., in Amy’s life, work, or activities).
-
E.
roleAtTheAthletic
Indicates that an entity holds or held a specific role or position at The Athletic.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d219f8819081dc4ce3c83ca0cb |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: May 3, 2026, 4:06 p.m.