Triple
T5921475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RatDog |
E131707
|
entity |
| Predicate | hasFormerMember |
P1168
|
FINISHED |
| Object | Dave Ellis |
E555912
|
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: Dave Ellis | Statement: [RatDog, hasFormerMember, Dave Ellis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Ellis Context triple: [RatDog, hasFormerMember, Dave Ellis]
-
A.
Dave Ellis
chosen
Dave Ellis is a musician best known as a notable member of the band The Other Ones.
-
B.
Mark Ellis
Mark Ellis, known by the stage name Flood, is a renowned British record producer and audio engineer recognized for his work with influential rock and alternative bands.
-
C.
David Bell
David Bell is the protagonist of the 1987 American drama film "Americana," around whom the story’s emotional and narrative arc revolves.
-
D.
Daniel Hunt
Daniel Hunt is a notable member of the Hunt family, recognized for his prominence and contributions associated with the family’s legacy.
-
E.
Jake Evers
Jake Evers is an individual known primarily as a notable bearer of the surname Evers.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03802ff4081908589236ba5cd196d |
completed | March 22, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e39ea48c8190a968f81f0e26ccbf |
completed | March 23, 2026, 6:54 a.m. |
Created at: March 22, 2026, 4 p.m.