Triple
T15025791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Flaherty |
E378209
|
entity |
| Predicate | hasColleague |
P398
|
FINISHED |
| Object | Nikki Faber |
—
|
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: Nikki Faber | Statement: [Mike Flaherty, hasColleague, Nikki Faber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikki Faber Context triple: [Mike Flaherty, hasColleague, Nikki Faber]
-
A.
Nikki Faber
chosen
Nikki Faber is a fictional character from the television sitcom "Spin City," known as one of the quirky staffers working in the New York City mayor's office.
-
B.
Nikki Sapp
Nikki Sapp is an American former Miami Heat dancer, art gallery director, and podcast host best known as the wife of NBA coach Erik Spoelstra.
-
C.
Nikki Gilbert
Nikki Gilbert is an American R&B singer and songwriter best known as a founding member and lead vocalist of the 1990s female group Brownstone.
-
D.
Nikki Hahn
Nikki Hahn is an American actress best known for her roles as a child performer in various television series and films.
-
E.
Nikki Gardner
Nikki Gardner is a fictional character from the American sitcom "The Exes," which follows the lives and relationships of divorced men sharing an apartment.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7dfcb508190aec8cd667e27a8ea |
completed | April 15, 2026, 12:12 a.m. |
Created at: April 10, 2026, 2:58 a.m.