Triple
T6125199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alice |
E136578
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Mel Sharples |
E572310
|
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: Mel Sharples | Statement: [Alice, character, Mel Sharples]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mel Sharples Context triple: [Alice, character, Mel Sharples]
-
A.
Mel Sharples
chosen
Mel Sharples is a gruff but good-hearted diner owner and cook from the sitcom "Alice," known for his no-nonsense attitude and catchphrase, "Stow it!"
-
B.
Sprague Cleghorn
Sprague Cleghorn was a rugged early-20th-century Canadian ice hockey defenseman renowned for his physical play and success in the National Hockey League.
-
C.
Delos A. Blodgett
Delos A. Blodgett was a 19th-century American lumber baron and philanthropist from Michigan, known for his significant role in the region’s timber industry and civic development.
-
D.
P. M. Blodgett
P. M. Blodgett was an early settler and prominent local figure in Oregon after whom the community of Blodgett was named.
-
E.
Onslow Stevens
Onslow Stevens was an American character actor active from the 1930s to the 1950s, known for his supporting roles in numerous Hollywood films and early television productions.
- 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c2791948190ba33458edfd1ebe8 |
completed | March 22, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16ebf33648190929d2e0b6b9faaec |
completed | March 23, 2026, 4:47 p.m. |
Created at: March 22, 2026, 4:14 p.m.