Triple
T19054537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiffany Hayes |
E466357
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tiffany Hayes |
—
|
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: Tiffany Hayes | Statement: [Tiffany Hayes, name, Tiffany Hayes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiffany Hayes Context triple: [Tiffany Hayes, name, Tiffany Hayes]
-
A.
Tiffany Hayes
chosen
Tiffany Hayes is an American professional basketball player and WNBA All-Star known for her scoring and defensive prowess, primarily with the Atlanta Dream.
-
B.
Tiffany Warren
Tiffany Warren is a main teenage character on the 1990s American sitcom "In the House," known for her close relationship with LL Cool J’s character and her role in the show's family-centered storylines.
-
C.
Tiffany Maxwell
Tiffany Maxwell is a troubled yet resilient young widow who forms an unconventional bond with Pat Solitano in the romantic dramedy film "Silver Linings Playbook."
-
D.
Tiffany Thompson
Tiffany Thompson is the daughter of John Thompson.
-
E.
Tiffany Rivers
Tiffany Rivers is the longtime wife of former NFL quarterback Philip Rivers, known for their large family and her involvement in charitable and community activities.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc049f64819093ae9fda26a49bd2 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 10, 2026, 12:03 p.m.