Triple
T4424607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honey browser extension |
E95179
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Honey mobile app |
E95181
|
NE FINISHED |
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: Honey mobile app | Statement: [Honey browser extension, hasComponent, Honey mobile app]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honey mobile app Context triple: [Honey browser extension, hasComponent, Honey mobile app]
-
A.
Electric Honey
Electric Honey is a Scottish independent record label known for releasing early recordings by bands such as Snow Patrol and Belle and Sebastian.
-
B.
Honey browser extension
Honey browser extension is a popular online shopping tool that automatically finds and applies coupon codes and discounts at checkout to help users save money.
-
C.
Honey
chosen
Honey is a popular online shopping tool and browser extension that automatically finds and applies coupon codes to help users save money.
-
D.
Honey
"Honey" is a song that served as the lead single for the musical act Butterfly.
-
E.
Honey for Tea
Honey for Tea is a British television series featuring actor Crispin Bonham-Carter among its cast.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554ca5208190ba2661616dcf071c |
completed | March 13, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f62f7eb88190a02669845126e790 |
completed | March 14, 2026, 11:58 p.m. |
Created at: March 12, 2026, 11:30 p.m.