Triple
T15832713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michel Temer |
E383909
|
entity |
| Predicate | abbreviationOfParty |
P83976
|
FINISHED |
| Object |
MDB
MDB is a major centrist political party in Brazil, historically influential in the country’s transition from military rule to democracy.
|
E1179092
|
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: MDB | Statement: [Michel Temer, abbreviationOfParty, MDB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MDB Context triple: [Michel Temer, abbreviationOfParty, MDB]
-
A.
MDB
MDB is the commonly used abbreviation for the University of Alabama’s Million Dollar Band, the school’s renowned marching band.
-
B.
MDB
MDB is the stock ticker symbol for MongoDB Inc., a leading provider of modern, document-oriented database software.
-
C.
Mdb
Mdb is the official station code used to identify Middelburg railway station in the Netherlands’ rail network.
-
D.
MDBK
MDBK is the stock ticker symbol for Midland Bank, a financial institution involved in banking and related financial services.
-
E.
DBM
DBM is a demand-side platform from Google’s DoubleClick suite that enables advertisers to buy and manage programmatic display, video, and mobile ad inventory across multiple exchanges.
- 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: MDB Triple: [Michel Temer, abbreviationOfParty, MDB]
Generated description
MDB is a major centrist political party in Brazil, historically influential in the country’s transition from military rule to democracy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MDB Target entity description: MDB is a major centrist political party in Brazil, historically influential in the country’s transition from military rule to democracy.
-
A.
MDB
MDB is the commonly used abbreviation for the University of Alabama’s Million Dollar Band, the school’s renowned marching band.
-
B.
MDB
MDB is the stock ticker symbol for MongoDB Inc., a leading provider of modern, document-oriented database software.
-
C.
Mdb
Mdb is the official station code used to identify Middelburg railway station in the Netherlands’ rail network.
-
D.
MDBK
MDBK is the stock ticker symbol for Midland Bank, a financial institution involved in banking and related financial services.
-
E.
DBM
DBM is a demand-side platform from Google’s DoubleClick suite that enables advertisers to buy and manage programmatic display, video, and mobile ad inventory across multiple exchanges.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e653e388190a4696cdb22546715 |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff99a0e62081909d02f87972490eef |
completed | May 9, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69ff9b56e07881909767b254dda6c8f7 |
completed | May 9, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9bfadd3081909b06c1ead4fd8f94 |
completed | May 9, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:49 a.m.