Triple
T13539212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahman Green |
E323338
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Green |
E141909
|
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: Green | Statement: [Ahman Green, familyName, Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Green Context triple: [Ahman Green, familyName, Green]
-
A.
Green
chosen
Green is a common English surname of Anglo-Saxon origin, typically derived from a descriptive nickname related to the color green or someone who lived near a village green.
-
B.
Green
Green is a color commonly used in transit systems to designate specific routes or lines, such as the Green Line E branch streetcar.
-
C.
Green
Green is a song featured on the album "Picture Perfect Morning."
-
D.
Greeny
Greeny is the famous 1959 Gibson Les Paul Standard guitar closely associated with Fleetwood Mac guitarist Peter Green and later Gary Moore and Kirk Hammett.
-
E.
Groen
Groen is a Flemish green political party in Belgium known for its progressive stance on environmental and social issues.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafd7ad9481908fe1d7ffcf8fab71 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9c04b881908a359df791b89b43 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:45 p.m.