Triple
T21795712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GearCo, Inc. |
E538087
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | GearCo, Inc. |
—
|
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, Inc. | Statement: [GearCo, Inc., hasName, GearCo, Inc.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GearCo, Inc. Context triple: [GearCo, Inc., hasName, GearCo, Inc.]
-
A.
GearCo, Inc.
chosen
GearCo, Inc. is a former independent apparel-related company that became part of Hanesbrands through acquisition.
-
B.
Webscoe Industries
Webscoe Industries is a powerful, fictional multinational conglomerate owned by the villainous tycoon Ross Webster in the film "Superman III."
-
C.
Echo Company
Echo Company is a rifle company within the U.S. Marine Corps’ 2nd Battalion, 4th Marines, known for its role in infantry combat operations.
-
D.
Echo Company
Echo Company is a rifle company within the 2nd Battalion, 1st Marines of the United States Marine Corps.
-
E.
Echo Company
Echo Company is a rifle company within the U.S. Marine Corps’ 2nd Battalion, 6th Marines, typically composed of infantry Marines organized for frontline combat operations.
- 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.