Triple
T3935824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DS Automobiles |
E90907
|
entity |
| Predicate | hasSubBrand |
P6092
|
FINISHED |
| Object |
E-Tense
E-Tense is DS Automobiles’ electrified vehicle line, encompassing its hybrid and fully electric performance models.
|
E398797
|
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: E-Tense | Statement: [DS Automobiles, hasSubBrand, E-Tense]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E-Tense Context triple: [DS Automobiles, hasSubBrand, E-Tense]
-
A.
Tetro
Tetro is a 2009 drama film directed by Francis Ford Coppola, in which Maribel Verdú plays a key supporting role in a story about fractured family relationships and artistic rivalry in Buenos Aires.
-
B.
The Esses
The Esses is a challenging downhill sequence of tight, twisting corners at Mount Panorama Circuit that tests drivers' precision and car balance during the Bathurst 1000.
-
C.
Touchstone
Touchstone is a publishing imprint known for releasing a wide range of commercial fiction and nonfiction titles.
-
D.
Electryon
Electryon is a king of Mycenae in Greek mythology, known primarily as the grandfather of the hero Heracles.
-
E.
Tunechi
Tunechi is a popular nickname and alter ego of American rapper Lil Wayne, often used to refer to his distinctive persona and musical brand.
- 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: E-Tense Triple: [DS Automobiles, hasSubBrand, E-Tense]
Generated description
E-Tense is DS Automobiles’ electrified vehicle line, encompassing its hybrid and fully electric performance models.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: E-Tense Target entity description: E-Tense is DS Automobiles’ electrified vehicle line, encompassing its hybrid and fully electric performance models.
-
A.
Tetro
Tetro is a 2009 drama film directed by Francis Ford Coppola, in which Maribel Verdú plays a key supporting role in a story about fractured family relationships and artistic rivalry in Buenos Aires.
-
B.
The Esses
The Esses is a challenging downhill sequence of tight, twisting corners at Mount Panorama Circuit that tests drivers' precision and car balance during the Bathurst 1000.
-
C.
Touchstone
Touchstone is a publishing imprint known for releasing a wide range of commercial fiction and nonfiction titles.
-
D.
Electryon
Electryon is a king of Mycenae in Greek mythology, known primarily as the grandfather of the hero Heracles.
-
E.
Tunechi
Tunechi is a popular nickname and alter ego of American rapper Lil Wayne, often used to refer to his distinctive persona and musical brand.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedcd29148190a98e4549c9ed8888 |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5288eb3e481909a68531fd37371a4 |
completed | March 14, 2026, 9:21 a.m. |
| NEDg | Description generation | batch_69b5297a08d08190a0150d71a795c66f |
completed | March 14, 2026, 9:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b529d7a5a88190aa0728778e8540c5 |
completed | March 14, 2026, 9:26 a.m. |
Created at: March 9, 2026, 3:23 p.m.