Triple
T13384553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life |
E319405
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Dani Reese |
E375818
|
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: Dani Reese | Statement: [Life, character, Dani Reese]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dani Reese Context triple: [Life, character, Dani Reese]
-
A.
Dani Reese
chosen
Dani Reese is a fictional Los Angeles police detective and main character from the TV series "Life," portrayed by actress Sarah Shahi.
-
B.
Lorrie Nantz
Lorrie Nantz is best known as the ex-wife of prominent American sportscaster Jim Nantz.
-
C.
Maria Bartiromo
Maria Bartiromo is an American financial journalist and television news anchor known for her pioneering work on CNBC and later Fox Business Network.
-
D.
Caroline Nantz
Caroline Nantz is the daughter of renowned American sportscaster Jim Nantz.
-
E.
Kimberly Woodruff
Kimberly Woodruff is the longtime wife of rapper and actor Ice Cube, known for her low public profile and role as a supportive partner and mother in their family.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce80158819082156eaeaeda3bd8 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7268cf04c8190a35fd48ce81c149e |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:33 p.m.