Triple
T32040185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petty Enterprises |
E818199
|
entity |
| Predicate | primaryManufacturer |
P4022
|
FINISHED |
| Object |
Plymouth
Plymouth was an American automobile brand of Chrysler Corporation known for producing popular, affordable cars and having a strong presence in NASCAR racing.
|
E555526
|
NE FINISHED |
How this triple was built (3 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: Plymouth | Statement: [Petty Enterprises, primaryManufacturer, Plymouth]
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: Plymouth Triple: [Petty Enterprises, primaryManufacturer, Plymouth]
Generated description
Plymouth was an American automobile brand of Chrysler Corporation known for producing popular, affordable cars and having a strong presence in NASCAR racing.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryManufacturer Context triple: [Petty Enterprises, primaryManufacturer, Plymouth]
-
A.
manufacturerType
Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
-
B.
manufacturedBy
chosen
Indicates that an item or product is produced or created by a specific manufacturer or maker.
-
C.
usedManufacturer
Indicates that an entity has employed or sourced products, components, or services from a particular manufacturer.
-
D.
notableManufacturer
Indicates that an entity is a well-known or prominent producer or maker of another entity.
-
E.
formerManufacturer
Indicates that an entity previously manufactured another entity but no longer does so.
- F. None of above.
Provenance (6 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_69f348fbc8148190b3c0f95d4772b153 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2ed4fb21ec8190bed414e32a567a16 |
completed | June 14, 2026, 4:21 p.m. |
| NEDg | Description generation | batch_6a2ed5c07e34819098385a0d7a928fa4 |
completed | June 14, 2026, 4:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2ed7379d088190b7481d5c7eb61b9f |
completed | June 14, 2026, 4:30 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:19 a.m.