Triple
T55507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject |
E1096
|
entity | |
| Predicate | subsidiary |
P258
|
FINISHED |
| Object |
Fitbit
Fitbit is a consumer electronics and fitness company best known for its wearable activity trackers and smartwatches that monitor health and exercise metrics.
|
E4030
|
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: Fitbit | Statement: [Google, subsidiary, Fitbit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fitbit Context triple: [Google, subsidiary, Fitbit]
-
A.
Ventra
Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
-
B.
Texas Instruments
Texas Instruments is a major American technology company best known for designing and manufacturing semiconductors and calculators used worldwide.
-
C.
Rogers
Rogers is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
-
D.
Rockwell
Rockwell is an American singer and songwriter best known for his 1984 hit single "Somebody's Watching Me."
-
E.
NFC
The NFC (National Football Conference) is one of the two conferences in the National Football League, comprising 16 teams that compete for a spot in the Super Bowl.
- 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: Fitbit Triple: [Google, subsidiary, Fitbit]
Generated description
Fitbit is a consumer electronics and fitness company best known for its wearable activity trackers and smartwatches that monitor health and exercise metrics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fitbit Target entity description: Fitbit is a consumer electronics and fitness company best known for its wearable activity trackers and smartwatches that monitor health and exercise metrics.
-
A.
Ventra
Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
-
B.
Texas Instruments
Texas Instruments is a major American technology company best known for designing and manufacturing semiconductors and calculators used worldwide.
-
C.
Rogers
Rogers is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
-
D.
Rockwell
Rockwell is an American singer and songwriter best known for his 1984 hit single "Somebody's Watching Me."
-
E.
NFC
The NFC (National Football Conference) is one of the two conferences in the National Football League, comprising 16 teams that compete for a spot in the Super Bowl.
- 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24b06c5488190afb5429a7999e3f3 |
completed | Feb. 28, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a24e67187c8190950aec5d9f8ecc60 |
completed | Feb. 28, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_69a24f001c588190b7eec6eec4fb5fd9 |
completed | Feb. 28, 2026, 2:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a24fccea748190bf167f0d3a6b3f81 |
completed | Feb. 28, 2026, 2:15 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.