Triple
T23461458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carla Brody |
E568986
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Brody |
—
|
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: Brody | Statement: [Carla Brody, familyName, Brody]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brody Context triple: [Carla Brody, familyName, Brody]
-
A.
Brody
chosen
Brody is a surname of English and Irish origin borne by various notable individuals across fields such as entertainment, sports, and public life.
-
B.
Brody
Brody is a historic town in western Ukraine that has long served as a strategic military and trade crossroads in the region.
-
C.
Brody Bruce
Brody Bruce is a comic book–obsessed slacker and central character from Kevin Smith’s film "Mallrats," known for his sarcastic wit and pop-culture rants.
-
D.
Brody Weston
Brody Weston is a character from the television series "Glee," known as a NYADA student and love interest of Rachel Berry during her time in New York.
-
E.
Braeden
Braeden is the given first name of NHL player Brady Tkachuk, a prominent American-born Canadian ice hockey forward.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a69bc200819096ed2baf25cdee4f |
completed | April 29, 2026, 6:35 a.m. |
Created at: April 17, 2026, 5:53 p.m.