Triple
T4072137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brisbane Roar FC |
E86671
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Roar |
E176226
|
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: Roar | Statement: [Brisbane Roar FC, nickname, Roar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roar Context triple: [Brisbane Roar FC, nickname, Roar]
-
A.
Roar
"Roar" is a 2013 pop anthem by American singer Katy Perry, known for its empowering lyrics about self-confidence and resilience and its vibrant, jungle-themed music video.
-
B.
Roar
chosen
Roar is a wooden roller coaster known for its fast, twisting layout and intense airtime, located at Six Flags America.
-
C.
Roar
Roar is a short-lived 1997 fantasy-adventure television series set in ancient Ireland, best known for starring a young Heath Ledger in one of his early leading roles.
-
D.
Standing O
"Standing O" is a pop song by Mariah Carey from her 2009 album *Memoirs of an Imperfect Angel*.
-
E.
How Far I’ll Go
"How Far I’ll Go" is the signature power ballad from Disney’s animated film *Moana*, expressing the heroine’s longing for exploration and self-discovery.
- 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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc20ed788190bd935082a348a05d |
completed | March 9, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562b99e84819085e1616fb9a61465 |
completed | March 14, 2026, 1:29 p.m. |
Created at: March 9, 2026, 3:38 p.m.