Triple
T19332202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mack Trucks |
E483523
|
entity |
| Predicate | notableModel |
P1503
|
FINISHED |
| Object |
Mack Anthem
The Mack Anthem is a modern heavy-duty highway truck model known for its fuel efficiency, driver comfort, and bold aerodynamic design.
|
E1370284
|
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: Mack Anthem | Statement: [Mack Trucks, notableModel, Mack Anthem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mack Anthem Context triple: [Mack Trucks, notableModel, Mack Anthem]
-
A.
Mack
Mack is a music producer best known for his work on Queen’s song “It’s a Hard Life.”
-
B.
Mack
Mack is a given name commonly used as a masculine first name or nickname in English-speaking countries.
-
C.
Reliant
Reliant is a major U.S. retail electricity provider, particularly known for serving residential and commercial customers in Texas as part of NRG Energy’s portfolio.
-
D.
Raccoon Ford
Raccoon Ford is a historic river crossing and small community in Virginia, known for its location along the Rapidan River and its role in American Civil War movements.
-
E.
The Mack
The Mack is a 1973 blaxploitation crime film centered on a charismatic pimp navigating power struggles in Oakland’s criminal underworld.
- 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: Mack Anthem Triple: [Mack Trucks, notableModel, Mack Anthem]
Generated description
The Mack Anthem is a modern heavy-duty highway truck model known for its fuel efficiency, driver comfort, and bold aerodynamic design.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mack Anthem Target entity description: The Mack Anthem is a modern heavy-duty highway truck model known for its fuel efficiency, driver comfort, and bold aerodynamic design.
-
A.
Mack
Mack is a music producer best known for his work on Queen’s song “It’s a Hard Life.”
-
B.
Mack
Mack is a given name commonly used as a masculine first name or nickname in English-speaking countries.
-
C.
Reliant
Reliant is a major U.S. retail electricity provider, particularly known for serving residential and commercial customers in Texas as part of NRG Energy’s portfolio.
-
D.
Raccoon Ford
Raccoon Ford is a historic river crossing and small community in Virginia, known for its location along the Rapidan River and its role in American Civil War movements.
-
E.
The Mack
The Mack is a 1973 blaxploitation crime film centered on a charismatic pimp navigating power struggles in Oakland’s criminal underworld.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e616422fa08190bf4bde4312ec7cf3 |
completed | April 20, 2026, 12:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a071be08a008190be70c531241ecbf2 |
completed | May 15, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_6a071cdb6ecc81908a00c82b8f80613f |
completed | May 15, 2026, 1:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a071d4dd0048190ad7561f76915a72f |
completed | May 15, 2026, 1:19 p.m. |
Created at: April 10, 2026, 1:33 p.m.