Triple
T9732686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marjorie |
E235982
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Marjie |
E235982
|
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: Marjie | Statement: [Marjorie, hasNickname, Marjie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marjie Context triple: [Marjorie, hasNickname, Marjie]
-
A.
Marjorie
chosen
Marjorie is a feminine given name of French origin that has been widely used in English-speaking countries.
-
B.
Marjorie
"Marjorie" is a reflective, emotionally intimate song by Taylor Swift from her album *Evermore*, written as a tribute to her late grandmother.
-
C.
Marcie
"Marcie" is a song by Joni Mitchell from her 1968 debut album "Song to a Seagull," noted for its introspective lyrics and folk-inspired style.
-
D.
Marcie
Marcie is a bespectacled, intelligent, and polite girl from the Peanuts comic strip, best known as Peppermint Patty’s loyal, soft-spoken friend who often calls her “Sir.”
-
E.
Maidie
Maidie is the central character of the television series "Dads," around whom the show's primary storylines and character dynamics revolve.
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eb3d6e4819090b3c7fb92550c57 |
completed | April 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcc8d2288190b2a1dc3fe1185030 |
completed | April 5, 2026, 1:37 a.m. |
Created at: March 30, 2026, 8:22 p.m.