Triple
T4645981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GROM |
E101772
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | JW GROM |
E101772
|
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: JW GROM | Statement: [GROM, alsoKnownAs, JW GROM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JW GROM Context triple: [GROM, alsoKnownAs, JW GROM]
-
A.
GROM
chosen
GROM is Poland’s elite special operations unit renowned for high-risk counterterrorism, hostage rescue, and unconventional warfare missions.
-
B.
Hella
Hella is a central character in James Baldwin’s novel "Giovanni’s Room," serving as the protagonist’s fiancée and a key figure in exploring themes of sexuality, identity, and societal expectations.
-
C.
LJ Torana
LJ Torana is a model of the Holden Torana, a compact Australian car produced by Holden in the early 1970s and popular in both everyday use and motorsport.
-
D.
JG 52
JG 52 was a famed Luftwaffe fighter wing of World War II, notable for including many of Germany’s highest-scoring fighter aces.
-
E.
Dynamo Diesel
Dynamo Diesel is the bull-themed official mascot of the Houston Dynamo Major League Soccer team, known for energizing fans at matches and community events.
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd623815288190b21cf59a3786363d |
completed | March 20, 2026, 3:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfadc5dc081908d56a49895105efb |
completed | March 21, 2026, 1:56 a.m. |
Created at: March 20, 2026, 1:14 p.m.