Triple
T20898388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bloodline |
E514603
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Todd A. Kessler |
—
|
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: Todd A. Kessler | Statement: [Bloodline, creator, Todd A. Kessler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Todd A. Kessler Context triple: [Bloodline, creator, Todd A. Kessler]
-
A.
Todd A. Kessler
chosen
Todd A. Kessler is an American television writer and producer best known for co-creating the critically acclaimed legal thriller series "Damages."
-
B.
Stephen Kessler
Stephen Kessler is an American film and television director best known for his work on comedies, including the National Lampoon’s Vegas Vacation.
-
C.
Kevin A. Ross
Kevin A. Ross is an American television personality and former judge best known for presiding over the syndicated courtroom show "America’s Court with Judge Ross."
-
D.
Michael J. Pierson
Michael J. Pierson is an individual notable enough to be specifically cited as a namesake or distinguished bearer of the surname Pierson.
-
E.
Stephen M. Kellen
Stephen M. Kellen was a prominent financier and philanthropist known for his leadership at Arnhold and S. Bleichroeder and his significant support of cultural and educational institutions.
- 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8f826788190b11008cc94b2a4e4 |
completed | April 21, 2026, 3:03 a.m. |
Created at: April 16, 2026, 12:47 p.m.