Triple
T195128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maine Celtics |
E3801
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
MNE
MNE is the standard abbreviation used for the Maine Celtics, an NBA G League basketball team based in Portland, Maine.
|
E24858
|
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: MNE | Statement: [Maine Celtics, abbreviation, MNE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MNE Context triple: [Maine Celtics, abbreviation, MNE]
-
A.
TMS
TMS (Test Mode Select) is the JTAG control signal used to navigate the TAP (Test Access Port) state machine in IEEE 1149.1 boundary-scan operations.
-
B.
EMA
EMA is the European Union’s regulatory authority responsible for the scientific evaluation, supervision, and safety monitoring of medicines.
-
C.
Audion
Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
-
D.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
-
E.
NMTI
NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
- 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: MNE Triple: [Maine Celtics, abbreviation, MNE]
Generated description
MNE is the standard abbreviation used for the Maine Celtics, an NBA G League basketball team based in Portland, Maine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MNE Target entity description: MNE is the standard abbreviation used for the Maine Celtics, an NBA G League basketball team based in Portland, Maine.
-
A.
TMS
TMS (Test Mode Select) is the JTAG control signal used to navigate the TAP (Test Access Port) state machine in IEEE 1149.1 boundary-scan operations.
-
B.
EMA
EMA is the European Union’s regulatory authority responsible for the scientific evaluation, supervision, and safety monitoring of medicines.
-
C.
Audion
Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
-
D.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
-
E.
NMTI
NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a25969425081908e178db8ba4631c2 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3115a91148190b554ca5fe372569c |
completed | Feb. 28, 2026, 4:01 p.m. |
| NEDg | Description generation | batch_69a31440a8e08190b8e7bdd67646899f |
completed | Feb. 28, 2026, 4:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a31493e0008190a0e58d9d9d7cfa39 |
completed | Feb. 28, 2026, 4:15 p.m. |
Created at: Feb. 28, 2026, 2:41 a.m.