Triple
T14947743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny Moore |
E372709
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Johnny Moore |
E378345
|
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: Johnny Moore | Statement: [Johnny Moore, name, Johnny Moore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johnny Moore Context triple: [Johnny Moore, name, Johnny Moore]
-
A.
Johnny Moore
chosen
Johnny Moore was an American rhythm and blues singer best known as a longtime lead vocalist of the vocal group The Drifters.
-
B.
Johnny Moore
Johnny Moore is a former NBA point guard best known for his playmaking and floor leadership with the San Antonio Spurs in the early 1980s.
-
C.
Billy Moore
Billy Moore is the real-life British boxer and drug smuggler whose memoir "A Prayer Before Dawn" was adapted into a film in which Joe Cole portrays him.
-
D.
Sonny John Moore
Sonny John Moore is an American electronic music producer, DJ, and singer best known by his stage name Skrillex, a pioneering figure in modern dubstep and EDM.
-
E.
Dan Moore
Dan Moore is a fictional character appearing in the work "Cane."
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68e35c481908e47cd68441c5115 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e963c548190b3a06ffbbb3298b2 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:39 a.m.