Triple
T9010532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madeleine |
E215457
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Maddy |
E301803
|
NE FINISHED |
How this triple was built (2 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: Maddy | Statement: [Madeleine, hasDiminutive, Maddy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maddy Context triple: [Madeleine, hasDiminutive, Maddy]
-
A.
Maddy
chosen
Maddy is a common diminutive or nickname typically used for the given name Madison.
-
B.
Maddie
Maddie is the official mascot of the WNBA's New York Liberty basketball team.
-
C.
Maddie
Maddie is a common diminutive form of the given name Madeleine, often used as a casual or affectionate nickname.
-
D.
Molly
Molly is the central female character in James Joyce’s novel "Ulysses," renowned for her candid, stream-of-consciousness monologue that concludes the book.
-
E.
Molly
Molly is a feminine given name commonly used in English-speaking countries, often as a diminutive of Mary.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69cfeb671e488190920fb1780e4ad48d |
completed | April 3, 2026, 4:31 p.m. |
Created at: March 30, 2026, 7:06 p.m.