Triple
T7546984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heather Alicia Simms |
E178429
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Swarm |
E28645
|
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: Swarm | Statement: [Heather Alicia Simms, notableWork, Swarm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Swarm Context triple: [Heather Alicia Simms, notableWork, Swarm]
-
A.
Swarm
Swarm is a creative work—likely a film, series, or literary piece—recognized as a significant contribution by Fam Udeorji.
-
B.
Swarm
Swarm is a giant wasp-like Skylander character from the Skylanders: Giants video game, known for his flying abilities and stinger-based combat.
-
C.
The Swarm
"The Swarm" is a poem by Winter Trees, likely exploring themes of collective movement, nature, or transformation through vivid, atmospheric imagery.
-
D.
The Swarm
The Swarm is a winged steel roller coaster at Thorpe Park in the UK, themed around a post-apocalyptic disaster with near-miss elements and inversions.
-
E.
Swarm (television series)
chosen
Swarm is a psychological horror-comedy television series created by Donald Glover and Janine Nabers that satirically explores obsessive fandom and celebrity culture.
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f89a7b2c8190b2ca57edbb4f0390 |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f2662f881909f65c936be9eab56 |
completed | March 28, 2026, 9:59 p.m. |
Created at: March 27, 2026, 3:49 p.m.