Triple
T26389863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Webber |
E663380
|
entity |
| Predicate | postF1Team |
P128736
|
FINISHED |
| Object |
Porsche Team
Porsche Team is the factory sports car racing outfit of the German automaker Porsche, best known for competing in top-level endurance series such as the FIA World Endurance Championship and the 24 Hours of Le Mans.
|
E1721706
|
NE FINISHED |
How this triple was built (3 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: Porsche Team | Statement: [Mark Webber, postF1Team, Porsche Team]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Porsche Team Triple: [Mark Webber, postF1Team, Porsche Team]
Generated description
Porsche Team is the factory sports car racing outfit of the German automaker Porsche, best known for competing in top-level endurance series such as the FIA World Endurance Championship and the 24 Hours of Le Mans.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postF1Team Context triple: [Mark Webber, postF1Team, Porsche Team]
-
A.
firstFormulaOneTeam
Indicates the Formula One team for which an entity (typically a driver) first competed.
-
B.
racingTeam
Indicates that one entity is a racing team associated with, employing, or represented by the other entity in a competitive racing context.
-
C.
lastF1Team
chosen
Indicates the Formula 1 team for which an entity most recently competed or was last associated.
-
D.
featuredTeam
Indicates that a particular team is highlighted or given special prominence in a given context or presentation.
-
E.
feedsTeam
Indicates that one entity provides food or nourishment to a team.
- F. None of above.
Provenance (6 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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f610be3e848190b7acb7675e37e1f5 |
completed | May 2, 2026, 2:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a119a80c5988190821e0a8c92addbdc |
completed | May 23, 2026, 12:16 p.m. |
| NEDg | Description generation | batch_6a119bbc54dc81908eac09f455b4c32a |
completed | May 23, 2026, 12:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a119c8b70c081908712fdefe5c7a147 |
completed | May 23, 2026, 12:24 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 11:24 p.m.