Triple
T9892887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ByteDance |
E181496
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Lark |
E828492
|
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: Lark | Statement: [ByteDance, product, Lark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lark Context triple: [ByteDance, product, Lark]
-
A.
Lark
chosen
Lark is a cloud-based workplace collaboration and productivity platform offering integrated messaging, video conferencing, calendars, and document tools, developed under ByteDance.
-
B.
Lark
Lark was a famous overnight passenger train that ran between San Francisco and Los Angeles, known for its streamlined design and sleeper service.
-
C.
Lark
Lark is a brand of cigarettes historically marketed by Liggett & Myers and known for its distinctive charcoal filter.
-
D.
Skylark
"Skylark" is a popular American jazz and pop standard from the early 1940s, known for its wistful melody and evocative, poetic lyrics.
-
E.
Kestrel
Kestrel is a pressure-fed, liquid-fueled rocket engine developed by SpaceX for the second stage of its early Falcon 1 launch vehicle.
- 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4814a3c8190ab1fd7f755a44508 |
completed | April 2, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20d888b408190a68ff55d63558478 |
completed | April 5, 2026, 7:21 a.m. |
Created at: March 30, 2026, 8:39 p.m.