Triple
T21795713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GearCo, Inc. |
E538087
|
entity |
| Predicate | hasShortName |
P1354
|
FINISHED |
| Object | GearCo |
—
|
NE NERFINISHED |
How this triple was built (2 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: GearCo | Statement: [GearCo, Inc., hasShortName, GearCo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GearCo Context triple: [GearCo, Inc., hasShortName, GearCo]
-
A.
GearCo, Inc.
chosen
GearCo, Inc. is a former independent apparel-related company that became part of Hanesbrands through acquisition.
-
B.
C-Gear
C-Gear is a multifunctional interface device in Pokémon Black and White that enables wireless communication, online connectivity, and various player-to-player interactions.
-
C.
Speedco
Speedco is a chain of quick-service commercial truck lube and tire service centers in the United States, catering primarily to professional drivers and fleet operators.
-
D.
GEAR
GEAR is a macroeconomic policy framework adopted by the South African government in the mid-1990s aimed at promoting economic growth, job creation, and fiscal stability during the post-apartheid transition.
-
E.
Gant
Gant is a surname most notably associated with American character actor Richard Gant, known for his roles in film and television since the 1980s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f06223ecc48190bd3b173586ea7818 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 16, 2026, 6:53 p.m.