Triple
T20112320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esteemsters |
E490363
|
entity |
| Predicate | introducesCharacter |
P12208
|
FINISHED |
| Object | Mr. O’Neill |
—
|
NE NERFINISHED |
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: Mr. O’Neill | Statement: [Esteemsters, introducesCharacter, Mr. O’Neill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. O’Neill Context triple: [Esteemsters, introducesCharacter, Mr. O’Neill]
-
A.
Mr. O’Neill
chosen
Mr. O’Neill is a sensitive, well-meaning but often ineffectual English teacher from the animated TV series "Daria," set in the town of Lawndale.
-
B.
Mr. O'Brien
Mr. O'Brien is the father of Jack O'Brien, about whom little else is publicly documented.
-
C.
Leo Dooley
Leo Dooley is a central character in the Disney XD series "Lab Rats," known as the witty, resourceful stepbrother who discovers and befriends a trio of bionic teenagers.
-
D.
Basil O’Connor
Basil O’Connor was an American lawyer and philanthropist best known for co-founding the March of Dimes and leading the fight against polio alongside Franklin D. Roosevelt.
-
E.
Mr. Grogan
Mr. Grogan is a fictional character associated with the setting of Ithaca, California, likely serving as a memorable or distinctive figure within that locale’s narrative.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e666e21f908190b46c747662ff378a |
completed | April 20, 2026, 5:48 p.m. |
Created at: April 11, 2026, 11:29 p.m.