Triple
T7089168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fire tablet |
E165147
|
entity |
| Predicate | hasProductLine |
P3585
|
FINISHED |
| Object |
Fire 7
Fire 7 is Amazon’s compact, budget-friendly 7-inch Fire tablet designed for basic media consumption, reading, and everyday apps.
|
E640017
|
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: Fire 7 | Statement: [Fire tablet, hasProductLine, Fire 7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fire 7 Context triple: [Fire tablet, hasProductLine, Fire 7]
-
A.
Firepower
Firepower is a Transformers character known as a powerful Autobot warrior distinguished by his heavy weaponry and combat capabilities.
-
B.
Bigfire
Bigfire is a rustic, American-style restaurant at Universal CityWalk Orlando known for its open-fire cooking and wood-smoked dishes.
-
C.
Firewall
"Firewall" is a 2006 techno-thriller film starring Harrison Ford as a security expert forced to rob the bank he protects after his family is taken hostage.
-
D.
Flurry
Flurry is a mobile analytics and advertising platform known for providing app usage insights and monetization tools to developers.
-
E.
Original Fire
"Original Fire" is a politically charged hard rock song by the American supergroup Audioslave, known for its driving riff and socially conscious lyrics.
- 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: Fire 7 Triple: [Fire tablet, hasProductLine, Fire 7]
Generated description
Fire 7 is Amazon’s compact, budget-friendly 7-inch Fire tablet designed for basic media consumption, reading, and everyday apps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fire 7 Target entity description: Fire 7 is Amazon’s compact, budget-friendly 7-inch Fire tablet designed for basic media consumption, reading, and everyday apps.
-
A.
Firepower
Firepower is a Transformers character known as a powerful Autobot warrior distinguished by his heavy weaponry and combat capabilities.
-
B.
Bigfire
Bigfire is a rustic, American-style restaurant at Universal CityWalk Orlando known for its open-fire cooking and wood-smoked dishes.
-
C.
Firewall
"Firewall" is a 2006 techno-thriller film starring Harrison Ford as a security expert forced to rob the bank he protects after his family is taken hostage.
-
D.
Flurry
Flurry is a mobile analytics and advertising platform known for providing app usage insights and monetization tools to developers.
-
E.
Original Fire
"Original Fire" is a politically charged hard rock song by the American supergroup Audioslave, known for its driving riff and socially conscious lyrics.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e52ec0348190ac090c2fee3edfb8 |
completed | March 27, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c794888abc8190ada2ae826449745a |
completed | March 28, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_69c7954253948190ab2bb3f7fc699fc3 |
completed | March 28, 2026, 8:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c795b1be18819087a4a70fc567bd80 |
completed | March 28, 2026, 8:47 a.m. |
Created at: March 27, 2026, 2:41 p.m.