Triple
T3273954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anberlin |
E68713
|
entity |
| Predicate | touredWith |
P36062
|
FINISHED |
| Object | 311 |
E208612
|
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: 311 | Statement: [Anberlin, touredWith, 311]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 311 Context triple: [Anberlin, touredWith, 311]
-
A.
311
chosen
311 is an American rock band from Omaha, Nebraska, known for blending alternative rock with reggae, hip hop, and funk influences.
-
B.
Base 311
Base 311 is a specialized unit within China’s People’s Liberation Army Strategic Support Force, widely associated with conducting psychological and information operations.
-
C.
300
300 is a 2006 stylized action film directed by Zack Snyder that dramatizes the Battle of Thermopylae through hyper-visual, graphic novel-inspired imagery.
-
D.
112
112 is an American R&B quartet best known for their smooth harmonies and hits like "Peaches & Cream" and "Cupid," and for their association with Bad Boy Records in the late 1990s and early 2000s.
-
E.
9-1-1
9-1-1 is an American procedural drama television series that follows the high-pressure lives of first responders in Los Angeles as they handle emergencies and personal challenges.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff74af88190809313743b439ff0 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28f0a71d48190a5e673aed011f218 |
completed | March 12, 2026, 10:01 a.m. |
Created at: March 8, 2026, 3:10 p.m.