Triple
T18905772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal-Mogul |
E462457
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Champion
Champion is a well-known automotive parts brand, particularly recognized for its spark plugs and related ignition components.
|
E1348850
|
NE FINISHED |
How this triple was built (4 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: Champion | Statement: [Federal-Mogul, brand, Champion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Champion Context triple: [Federal-Mogul, brand, Champion]
-
A.
Champion
"Champion" is a 1949 American film noir boxing drama directed by Mark Robson and starring Kirk Douglas as an ambitious but ruthless prizefighter.
-
B.
Champion
Champion was a prominent streamlined passenger train that operated in the mid-20th century between the U.S. Northeast and Florida, known for its popular vacation service.
-
C.
Champion
Champion is an American athletic apparel and sportswear brand known for its hoodies, sweatshirts, and activewear.
-
D.
Champion
"Champion" is a song by Nigerian singer Fireboy DML, known for its uplifting themes and melodic Afrobeats sound.
-
E.
Champion
Champion is a French academic publishing house known for its scholarly works in linguistics, philology, and the humanities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Champion Triple: [Federal-Mogul, brand, Champion]
Generated description
Champion is a well-known automotive parts brand, particularly recognized for its spark plugs and related ignition components.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Champion Target entity description: Champion is a well-known automotive parts brand, particularly recognized for its spark plugs and related ignition components.
-
A.
Champion
Champion is an American athletic apparel and sportswear brand known for its hoodies, sweatshirts, and activewear.
-
B.
Champion
Champion is the surname of Will Champion, the English drummer best known as a member of the rock band Coldplay.
-
C.
Champion
Champion was a prominent streamlined passenger train that operated in the mid-20th century between the U.S. Northeast and Florida, known for its popular vacation service.
-
D.
Champion
Champion is a French academic publishing house known for its scholarly works in linguistics, philology, and the humanities.
-
E.
Champion
"Champion" is a song by Nigerian singer Fireboy DML, known for its uplifting themes and melodic Afrobeats sound.
- F. None of above. chosen
Provenance (5 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52cc9cc8190ac489d36e51693c8 |
completed | April 20, 2026, 6:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0582bf4f9481908098c8d405225553 |
completed | May 14, 2026, 8:07 a.m. |
| NEDg | Description generation | batch_6a05899f7a008190a9b0324f403f09ac |
completed | May 14, 2026, 8:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a058a1028288190b9fddb9b6b123651 |
completed | May 14, 2026, 8:38 a.m. |
Created at: April 10, 2026, 11:58 a.m.