Triple
T5523816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Green |
E144874
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
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.
|
E528529
|
NE FINISHED |
How this triple was built (4 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: Greeny | Statement: [Peter Green, nickname, Greeny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greeny Context triple: [Peter Green, nickname, Greeny]
-
A.
Green
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.
Eco
Eco is the proposed common currency intended to be adopted by member states of the Economic Community of West African States (ECOWAS) to facilitate regional economic integration.
-
C.
Eco
Eco is an Italian surname most famously borne by Umberto Eco, the renowned novelist, philosopher, and semiotician.
-
D.
Big Green
Big Green is the nickname and mascot representing the athletic teams and school spirit of Deerfield Academy.
-
E.
Big Green
Big Green is the collective nickname for Dartmouth College’s athletic teams and, more broadly, its campus community identity.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Greeny Triple: [Peter Green, nickname, Greeny]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greeny Target entity description: 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.
-
A.
Green
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.
Eco
Eco is the proposed common currency intended to be adopted by member states of the Economic Community of West African States (ECOWAS) to facilitate regional economic integration.
-
C.
Eco
Eco is an Italian surname most famously borne by Umberto Eco, the renowned novelist, philosopher, and semiotician.
-
D.
Big Green
Big Green is the nickname and mascot representing the athletic teams and school spirit of Deerfield Academy.
-
E.
Big Green
Big Green is the collective nickname for Dartmouth College’s athletic teams and, more broadly, its campus community identity.
- F. None of above. chosen
Provenance (5 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_69c008f873a481909b4d9f7e2db3c37d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f85c8508190a0a089402b49a04f |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027f6aa1c8190b639c317c7d60f64 |
completed | March 22, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c033dc91e08190888fb6e94027fbdb |
completed | March 22, 2026, 6:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c03460b21481908b78aa4bdc989d2c |
completed | March 22, 2026, 6:26 p.m. |
Created at: March 22, 2026, 3:34 p.m.