Triple
T2192255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Men in Red |
E49887
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
MIR
MIR is the commonly used abbreviation for "Men in Red," typically referring to a sports team or group distinguished by their red uniforms.
|
E242550
|
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: MIR | Statement: [Men in Red, hasAbbreviation, MIR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MIR Context triple: [Men in Red, hasAbbreviation, MIR]
-
A.
MIRI
MIRI is the Mid-Infrared Instrument on the James Webb Space Telescope, designed to capture detailed images and spectra of celestial objects in the mid-infrared range.
-
B.
MUR
MUR is the Italian Ministry responsible for national policies on universities, higher education, and scientific and technological research.
-
C.
MR
MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
-
D.
MR
MR is the official vehicle registration code used on license plates for the city of Marburg in the German state of Hesse.
-
E.
MEL
MEL is the three-letter IATA airport code for Melbourne Airport, the primary international gateway serving Melbourne, Australia.
- 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: MIR Triple: [Men in Red, hasAbbreviation, MIR]
Generated description
MIR is the commonly used abbreviation for "Men in Red," typically referring to a sports team or group distinguished by their red uniforms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MIR Target entity description: MIR is the commonly used abbreviation for "Men in Red," typically referring to a sports team or group distinguished by their red uniforms.
-
A.
MIRI
MIRI is the Mid-Infrared Instrument on the James Webb Space Telescope, designed to capture detailed images and spectra of celestial objects in the mid-infrared range.
-
B.
MUR
MUR is the Italian Ministry responsible for national policies on universities, higher education, and scientific and technological research.
-
C.
MR
MR is a Belgian French-speaking liberal political party that participated as one of the partners in the federal Vivaldi coalition government led by Alexander De Croo.
-
D.
MR
MR is the official vehicle registration code used on license plates for the city of Marburg in the German state of Hesse.
-
E.
MEL
MEL is the three-letter IATA airport code for Melbourne Airport, the primary international gateway serving Melbourne, Australia.
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf48ceb48190956df39377df0548 |
completed | March 7, 2026, 6:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5db283cc8190b75870cb2aabc5af |
completed | March 9, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69ae5e7b13108190bc3f4edbff3bdb24 |
completed | March 9, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5edfe80481908c3304c917c9065b |
completed | March 9, 2026, 5:47 a.m. |
Created at: March 4, 2026, 7:46 p.m.