Triple
T15901280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chesty Puller |
E385593
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Chesty |
E385593
|
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: Chesty | Statement: [Chesty Puller, nickname, Chesty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chesty Context triple: [Chesty Puller, nickname, Chesty]
-
A.
Chesty
chosen
Chesty is the famous nickname of Lewis B. "Chesty" Puller, one of the most highly decorated and legendary officers in United States Marine Corps history.
-
B.
Doughty
Doughty is a surname most prominently associated with Canadian professional ice hockey defenseman Drew Doughty of the NHL’s Los Angeles Kings.
-
C.
Wheezy
Wheezy is a prominent American hip-hop record producer known for his melodic trap beats and frequent collaborations with artists like Young Thug, Gunna, and Future.
-
D.
Wheezy
Wheezy is a music producer best known for his work on the animated television series "Rocket Power."
-
E.
Rusty
Rusty is a small diesel locomotive character from the Skarloey Railway in the Thomas & Friends universe, known for being hardworking, reliable, and friendly.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563db01081908dd94a2536ef2107 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5a39a348190a4ef6784c54649c2 |
completed | May 9, 2026, 10:30 p.m. |
Created at: April 10, 2026, 4:52 a.m.