Triple
T6106785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hélio Gracie |
E136135
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gracie |
E99089
|
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: Gracie | Statement: [Hélio Gracie, familyName, Gracie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gracie Context triple: [Hélio Gracie, familyName, Gracie]
-
A.
Gracie
chosen
Gracie is a given name, often used as a diminutive of Grace.
-
B.
Gracie Otto
Gracie Otto is an Australian filmmaker and actress known for her work in independent cinema and documentary directing.
-
C.
Gracie Kramer
Gracie Kramer is a former UCLA Bruins gymnast known for her powerful floor routines and leadership as a standout collegiate athlete.
-
D.
Gianna
Gianna is a feminine given name of Italian origin, often associated with the late Gianna Bryant, daughter of basketball legend Kobe Bryant.
-
E.
Gracie Hart
Gracie Hart is a tough yet endearingly awkward FBI agent and former undercover beauty pageant contestant known for blending sharp investigative skills with comedic charm.
- 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b806bd48190b6f020af3391adb8 |
completed | March 22, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1255b27a88190b45b664a2ba41166 |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:13 p.m.