Triple
T20386934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaun |
E497983
|
entity |
| Predicate | worksAt |
P7
|
FINISHED |
| Object |
Foree Electronics
Foree Electronics is a company that employs Shaun, likely operating in the consumer or industrial electronics sector.
|
E1428097
|
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: Foree Electronics | Statement: [Shaun, worksAt, Foree Electronics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foree Electronics Context triple: [Shaun, worksAt, Foree Electronics]
-
A.
Ferguson Electronics
Ferguson Electronics is a British consumer electronics brand best known for its televisions and audio equipment, historically prominent in the UK home entertainment market.
-
B.
Efficeon
Efficeon is a family of low-power, x86-compatible microprocessors developed by Transmeta as the successor to its Crusoe line, aimed primarily at mobile and embedded computing devices.
-
C.
WeMo
WeMo is a brand of smart home devices, such as smart plugs and switches, that allow users to control household electronics remotely via apps and voice assistants.
-
D.
Joie
Joie is a beverage brand produced by the Japanese probiotic drink company Yakult Honsha.
-
E.
Fitel
Fitel was a financial technology startup where Jeff Bezos worked early in his career, before joining D. E. Shaw and later founding Amazon.
- 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: Foree Electronics Triple: [Shaun, worksAt, Foree Electronics]
Generated description
Foree Electronics is a company that employs Shaun, likely operating in the consumer or industrial electronics sector.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Foree Electronics Target entity description: Foree Electronics is a company that employs Shaun, likely operating in the consumer or industrial electronics sector.
-
A.
Ferguson Electronics
Ferguson Electronics is a British consumer electronics brand best known for its televisions and audio equipment, historically prominent in the UK home entertainment market.
-
B.
Efficeon
Efficeon is a family of low-power, x86-compatible microprocessors developed by Transmeta as the successor to its Crusoe line, aimed primarily at mobile and embedded computing devices.
-
C.
WeMo
WeMo is a brand of smart home devices, such as smart plugs and switches, that allow users to control household electronics remotely via apps and voice assistants.
-
D.
Joie
Joie is a beverage brand produced by the Japanese probiotic drink company Yakult Honsha.
-
E.
Fitel
Fitel was a financial technology startup where Jeff Bezos worked early in his career, before joining D. E. Shaw and later founding Amazon.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790c935881908f901d058e6a83a9 |
completed | April 20, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08761d20a48190ad378eba3d22684a |
completed | May 16, 2026, 1:50 p.m. |
| NEDg | Description generation | batch_6a0876f82dac8190a6c25fc0574a842a |
completed | May 16, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0877ac99408190a31ee21894770334 |
completed | May 16, 2026, 1:57 p.m. |
Created at: April 16, 2026, 11:28 a.m.