Triple
T9010533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madeleine |
E215457
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object |
Mags
Mags is a common diminutive or nickname for the given name Madeleine.
|
E772672
|
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: Mags | Statement: [Madeleine, hasDiminutive, Mags]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mags Context triple: [Madeleine, hasDiminutive, Mags]
-
A.
Magazia
Magazia is a small village on the Greek island of Paxos, known for its traditional character and tranquil, rural setting.
-
B.
Magan
Magan was an ancient Bronze Age region, likely in present-day Oman or the surrounding Arabian Peninsula, known as a key maritime trading partner of the Indus Valley Civilization and Mesopotamia.
-
C.
Ms. Magazine
Ms. Magazine is a pioneering American feminist magazine founded in the early 1970s that became a leading voice of the women’s liberation movement.
-
D.
MAG
MAG is the abbreviated name used to represent Magic Gaming, the NBA 2K League affiliate of the Orlando Magic.
-
E.
MAG
MAG is the magnetometer instrument aboard the European Space Agency’s Venus Express spacecraft, designed to measure Venus’s magnetic field and its interaction with the solar wind.
- 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: Mags Triple: [Madeleine, hasDiminutive, Mags]
Generated description
Mags is a common diminutive or nickname for the given name Madeleine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mags Target entity description: Mags is a common diminutive or nickname for the given name Madeleine.
-
A.
Magazia
Magazia is a small village on the Greek island of Paxos, known for its traditional character and tranquil, rural setting.
-
B.
Magan
Magan was an ancient Bronze Age region, likely in present-day Oman or the surrounding Arabian Peninsula, known as a key maritime trading partner of the Indus Valley Civilization and Mesopotamia.
-
C.
Ms. Magazine
Ms. Magazine is a pioneering American feminist magazine founded in the early 1970s that became a leading voice of the women’s liberation movement.
-
D.
MAG
MAG is the abbreviated name used to represent Magic Gaming, the NBA 2K League affiliate of the Orlando Magic.
-
E.
MAG
MAG is the magnetometer instrument aboard the European Space Agency’s Venus Express spacecraft, designed to measure Venus’s magnetic field and its interaction with the solar wind.
- 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_69ca83a2bf088190986ee7a8eb90407d |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69c1571881908d0b144786b5ee1f |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb9dca848190952427bb5712081f |
completed | April 3, 2026, 3:24 p.m. |
| NEDg | Description generation | batch_69cfdc5b230881908057cc868e44ea44 |
completed | April 3, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfdcfc28288190b849b3f0216a7e9a |
completed | April 3, 2026, 3:30 p.m. |
Created at: March 30, 2026, 7:06 p.m.