Triple
T11235621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ginger |
E265933
|
entity |
| Predicate | antagonist |
P4675
|
FINISHED |
| Object | Mr. Tweedy |
E911817
|
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: Mr. Tweedy | Statement: [Ginger, antagonist, Mr. Tweedy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Tweedy Context triple: [Ginger, antagonist, Mr. Tweedy]
-
A.
Mr. Tweedy
chosen
Mr. Tweedy is the bumbling, suspicious farmhand and secondary antagonist in the animated film "Chicken Run," known for constantly warning his wife that the chickens are up to something.
-
B.
Teddy Sears
Teddy Sears is an American actor known for his television roles in series such as "Masters of Sex," "The Flash," and "American Horror Story."
-
C.
Waddy Butler Wood
Waddy Butler Wood was an American architect known for his influential early 20th-century designs in Washington, D.C., including notable residential and public buildings.
-
D.
Ned Ryerson
Ned Ryerson is the overly enthusiastic insurance salesman and former classmate who repeatedly accosts Phil Connors in the film "Groundhog Day."
-
E.
Dick Tipton
Dick Tipton is a reformed street urchin in Frances Hodgson Burnett’s novel "Little Lord Fauntleroy," who becomes a loyal friend and ally to the young protagonist.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e904cf888190826fc964f76b5cb2 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4ad6308f8819085652d6c529ac821 |
completed | April 19, 2026, 10:24 a.m. |
Created at: April 8, 2026, 9:30 p.m.