Triple
T20511608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dana Holding Corporation |
E503577
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Reinz
Reinz is an automotive brand known for producing sealing and gasket technologies, particularly for engines and powertrain systems.
|
E1435471
|
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: Reinz | Statement: [Dana Holding Corporation, hasBrand, Reinz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reinz Context triple: [Dana Holding Corporation, hasBrand, Reinz]
-
A.
Reeser
Reeser is a surname most notably associated with American actress Autumn Reeser, known for her roles in television and film.
-
B.
Randolf
Randolf is a surname most notably associated with Danish-American silent film actor Anders Randolf.
-
C.
Rolph
Rolph is a surname most notably associated with James Rolph, a prominent early 20th-century American politician and former mayor of San Francisco and governor of California.
-
D.
Reinold
Reinold is a given name that functions as an alternative spelling of the name Reginald.
-
E.
Ruehl
Ruehl is a surname most notably associated with Mercedes Ruehl, the American actress known for her acclaimed work in film, television, and theater.
- 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: Reinz Triple: [Dana Holding Corporation, hasBrand, Reinz]
Generated description
Reinz is an automotive brand known for producing sealing and gasket technologies, particularly for engines and powertrain systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reinz Target entity description: Reinz is an automotive brand known for producing sealing and gasket technologies, particularly for engines and powertrain systems.
-
A.
Reeser
Reeser is a surname most notably associated with American actress Autumn Reeser, known for her roles in television and film.
-
B.
Randolf
Randolf is a surname most notably associated with Danish-American silent film actor Anders Randolf.
-
C.
Rolph
Rolph is a surname most notably associated with James Rolph, a prominent early 20th-century American politician and former mayor of San Francisco and governor of California.
-
D.
Reinold
Reinold is a given name that functions as an alternative spelling of the name Reginald.
-
E.
Ruehl
Ruehl is a surname most notably associated with Mercedes Ruehl, the American actress known for her acclaimed work in film, television, and theater.
- 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_69e0b4b2aa788190ae9eb37c1d73b1f1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69dcb8f5c8190b0d4c09f3669a8ec |
completed | April 20, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a089d36f4688190a084267f85744cc0 |
completed | May 16, 2026, 4:37 p.m. |
| NEDg | Description generation | batch_6a089de26d548190882d6685aaa7f5fa |
completed | May 16, 2026, 4:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a089e5c696881909d1d793b884464a1 |
completed | May 16, 2026, 4:42 p.m. |
Created at: April 16, 2026, 11:36 a.m.