Triple
T15025789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Flaherty |
E378209
|
entity |
| Predicate | hasColleague |
P398
|
FINISHED |
| Object | Paul Lassiter |
E699914
|
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: Paul Lassiter | Statement: [Mike Flaherty, hasColleague, Paul Lassiter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Lassiter Context triple: [Mike Flaherty, hasColleague, Paul Lassiter]
-
A.
Paul Lassiter
chosen
Paul Lassiter is a bumbling, neurotic press secretary and one of the main comedic characters on the television sitcom "Spin City."
-
B.
Rob Mitchell
Rob Mitchell was a British music executive best known as a co-founder of the influential electronic music label Warp Records.
-
C.
Phil Balsley
Phil Balsley is an American country and gospel singer best known as the baritone vocalist and founding member of the award-winning group The Statler Brothers.
-
D.
Dennis Austin
Dennis Austin was a software engineer best known as the co-creator and principal developer of Microsoft PowerPoint, originally developed at Forethought Inc.
-
E.
Maury Sterling
Maury Sterling is an American actor best known for his role as surveillance expert Max in the television series "Homeland."
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7dfcb508190aec8cd667e27a8ea |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dd746008190a7347368ee6d20cf |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:58 a.m.