Triple
T18762851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laser |
E458815
|
entity |
| Predicate | hasLastName |
P18
|
FINISHED |
| Object | Allgood |
—
|
NE NERFINISHED |
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: Allgood | Statement: [Laser, hasLastName, Allgood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allgood Context triple: [Laser, hasLastName, Allgood]
-
A.
Allgood
chosen
Allgood is an Irish surname most notably associated with the early 20th-century stage and film actress Sara Allgood.
-
B.
Goodes
Goodes is the surname of Adam Goodes, a prominent Australian rules footballer and Indigenous rights advocate.
-
C.
Gooden
Gooden is a surname most notably associated with former Major League Baseball pitcher Dwight "Doc" Gooden, a dominant star of the 1980s New York Mets.
-
D.
All the Good Ones
"All the Good Ones" is a power-pop single by American rock band Weezer from their 2021 album *Van Weezer*, noted for its catchy hooks and nostalgic guitar-driven sound.
-
E.
It's All Good
"It's All Good" is a song by Bob Dylan that appears on his 2009 album *Together Through Life*, reflecting the record’s blues-infused, roots-rock style.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d80a954819083946dafc0c7af05 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 10, 2026, 11:52 a.m.