Triple
T11170971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melissa |
E264271
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Lissy |
E819983
|
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: Lissy | Statement: [Melissa, hasDiminutive, Lissy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lissy Context triple: [Melissa, hasDiminutive, Lissy]
-
A.
Lissy
chosen
Lissy is a feminine given name, often used as a diminutive or variant of names like Elisabeth or Melissa.
-
B.
Lisea Lyons
Lisea Lyons is an American photographer and artist best known for her 1990s marriage to Green Day drummer Tré Cool.
-
C.
Lizz
Lizz is a feminine given name, often used as a shortened form of Elizabeth.
-
D.
Lyla
"Lyla" is a song by the English rock band Oasis, featured on their 2005 album "Don't Believe the Truth."
-
E.
Lilly
Lilly is the surname of Bob Lilly, a Pro Football Hall of Fame defensive tackle best known for his career with the Dallas Cowboys.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e89660208190b1d9e91529f5d246 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463b155a08190b361b38a39d25b1f |
completed | April 19, 2026, 5:10 a.m. |
Created at: April 8, 2026, 9:29 p.m.