Triple
T3495241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dope Body |
E73834
|
entity |
| Predicate | guitarist |
P15278
|
FINISHED |
| Object | Zachary Utz |
E362353
|
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: Zachary Utz | Statement: [Dope Body, guitarist, Zachary Utz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zachary Utz Context triple: [Dope Body, guitarist, Zachary Utz]
-
A.
Zachary Utz
chosen
Zachary Utz is a musician best known as a member of the Baltimore noise-rock band Dope Body.
-
B.
Zachary
Zachary is a masculine given name of Hebrew origin meaning "the Lord has remembered," borne by various notable figures including the 12th U.S. president, Zachary Taylor.
-
C.
Zachary Williams
Zachary Williams is the eldest son of the late American actor and comedian Robin Williams.
-
D.
Huck Ziegler
Huck Ziegler is the son of Toby Ziegler, a central character on the television series "The West Wing."
-
E.
Quentin Jacobsen
Quentin Jacobsen is the introspective teenage protagonist of John Green’s novel "Paper Towns," whose search for his enigmatic neighbor Margo Roth Spiegelman drives the story’s coming-of-age journey.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbb06fd08190b6c1fadfce4148f0 |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e67f68081909766d78ee24e9e6e |
completed | March 13, 2026, 3:03 a.m. |
Created at: March 8, 2026, 3:18 p.m.