Triple
T18905771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal-Mogul |
E462457
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Ferodo
Ferodo is a well-known automotive brand specializing in brake pads and friction products, owned by Federal-Mogul.
|
E1348849
|
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: Ferodo | Statement: [Federal-Mogul, brand, Ferodo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferodo Context triple: [Federal-Mogul, brand, Ferodo]
-
A.
Bondo
Bondo is a town in western Kenya’s Nyanza region, known as an administrative and commercial center near Lake Victoria.
-
B.
Bondo
Bondo is a town located in the northeastern part of the Democratic Republic of the Congo.
-
C.
Ferno
Ferno is a small municipality in the Lombardy region of northern Italy, situated in the province of Varese.
-
D.
Arbizon
Arbizon is a prominent peak in the French Pyrenees known for its striking pyramidal shape and panoramic views over the surrounding valleys.
-
E.
Babbitt
Babbitt is a surname most notably associated with American literary critic and academic Irving Babbitt.
- 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: Ferodo Triple: [Federal-Mogul, brand, Ferodo]
Generated description
Ferodo is a well-known automotive brand specializing in brake pads and friction products, owned by Federal-Mogul.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ferodo Target entity description: Ferodo is a well-known automotive brand specializing in brake pads and friction products, owned by Federal-Mogul.
-
A.
Bondo
Bondo is a town in western Kenya’s Nyanza region, known as an administrative and commercial center near Lake Victoria.
-
B.
Bondo
Bondo is a town located in the northeastern part of the Democratic Republic of the Congo.
-
C.
Ferno
Ferno is a small municipality in the Lombardy region of northern Italy, situated in the province of Varese.
-
D.
Arbizon
Arbizon is a prominent peak in the French Pyrenees known for its striking pyramidal shape and panoramic views over the surrounding valleys.
-
E.
Babbitt
Babbitt is a surname most notably associated with American literary critic and academic Irving Babbitt.
- 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.