Triple
T20624677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dropkick Murphys |
E506786
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | “Tessie” |
—
|
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: “Tessie” | Statement: [Dropkick Murphys, notableWork, “Tessie”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Tessie” Context triple: [Dropkick Murphys, notableWork, “Tessie”]
-
A.
Tessie
Tessie is a Boston Red Sox mascot character, often depicted as a green monster and associated with Wally the Green Monster.
-
B.
Tessie
chosen
Tessie is one of the young orphan girls in the musical "Annie," known for her anxious personality and frequent cries of "Oh my goodness, oh my goodness!"
-
C.
Tish
"Tish" is a 1942 American comedy film based on Mary Roberts Rinehart's stories, featuring Rags Ragland in a supporting role.
-
D.
Tish
Tish is a given name used by various individuals, often as a diminutive or nickname for longer names such as Letitia or Patricia.
-
E.
Tillie
Tillie is a character in the 1967 film "Guess Who's Coming to Dinner," serving as the Drayton family's outspoken and protective housekeeper.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe3d76c8190a8a5cb52bb9bfc2b |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:42 a.m.