Triple
T18905778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal-Mogul |
E462457
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Wagner
Wagner is a Federal-Mogul automotive parts brand best known for its replacement brake components and lighting products.
|
E1348855
|
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: Wagner | Statement: [Federal-Mogul, brand, Wagner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wagner Context triple: [Federal-Mogul, brand, Wagner]
-
A.
Wagner
Wagner is a surname most famously associated with Honus Wagner, one of the greatest early baseball players in Major League history.
-
B.
Wagner
Wagner is a common Portuguese given name, notably borne by Brazilian actor and filmmaker Wagner Moura.
-
C.
Richard Wagner
Richard Wagner was a 19th-century German composer best known for his revolutionary operas and music dramas, which profoundly shaped Western classical music and artistic thought.
-
D.
Richard Wagner (writer)
Richard Wagner is a Romanian-born German writer and essayist known for his works on life under dictatorship and his association with fellow author Herta Müller.
-
E.
Siegfried Wagner
Siegfried Wagner was a German composer and conductor of the late Romantic era, best known for directing the Bayreuth Festival and continuing the musical legacy of his father, Richard Wagner.
- 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: Wagner Triple: [Federal-Mogul, brand, Wagner]
Generated description
Wagner is a Federal-Mogul automotive parts brand best known for its replacement brake components and lighting products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wagner Target entity description: Wagner is a Federal-Mogul automotive parts brand best known for its replacement brake components and lighting products.
-
A.
Wagner
Wagner is a surname most famously associated with Honus Wagner, one of the greatest early baseball players in Major League history.
-
B.
Wagner
Wagner is a common Portuguese given name, notably borne by Brazilian actor and filmmaker Wagner Moura.
-
C.
Richard Wagner
Richard Wagner was a 19th-century German composer best known for his revolutionary operas and music dramas, which profoundly shaped Western classical music and artistic thought.
-
D.
Richard Wagner (writer)
Richard Wagner is a Romanian-born German writer and essayist known for his works on life under dictatorship and his association with fellow author Herta Müller.
-
E.
Siegfried Wagner
Siegfried Wagner was a German composer and conductor of the late Romantic era, best known for directing the Bayreuth Festival and continuing the musical legacy of his father, Richard Wagner.
- 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.