Triple
T6578301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Berenbaum |
E157226
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Tick |
E183677
|
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: The Tick | Statement: [Michael Berenbaum, notableWork, The Tick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Tick Context triple: [Michael Berenbaum, notableWork, The Tick]
-
A.
The Tick
chosen
The Tick is a satirical superhero character best known from the cult-favorite live-action TV series in which Patrick Warburton portrayed the absurdly earnest, nigh-invulnerable blue-costumed crimefighter.
-
B.
Aqua Teen Hunger Force
Aqua Teen Hunger Force is a surreal animated comedy series featuring anthropomorphic fast-food items as roommates, known for its absurd humor and status as one of Adult Swim’s earliest and most influential shows.
-
C.
Garfield
Garfield is best known as the 20th president of the United States, whose term in 1881 was cut short by assassination.
-
D.
Garfield
Garfield is a famous orange comic-strip cat created by Jim Davis, known for his laziness, love of lasagna, and sarcastic attitude.
-
E.
The Dick Vet
The Dick Vet is a renowned veterinary school that forms part of the University of Edinburgh in Scotland.
- 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae74fd90819091d67eec6381d5e0 |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cba5cc708190a8748160a7878b8f |
completed | March 27, 2026, 6:25 p.m. |
Created at: March 27, 2026, 1:54 p.m.