Triple
T10520569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Tellefsen |
E248156
|
entity |
| Predicate | edited |
P1932
|
FINISHED |
| Object | The Drop |
E272338
|
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: The Drop | Statement: [Christopher Tellefsen, edited, The Drop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Drop Context triple: [Christopher Tellefsen, edited, The Drop]
-
A.
The Drop
chosen
The Drop is a crime drama novel by Dennis Lehane that follows a lonely bartender entangled in a dangerous scheme involving mob money, a stray dog, and a mysterious woman in working-class Brooklyn.
-
B.
The Drop
The Drop is a crime novel by Michael Connelly featuring LAPD detective Harry Bosch as he investigates two seemingly unrelated cases involving a cold-case DNA hit and political corruption.
-
C.
Drop the World
"Drop the World" is a hip-hop track best known as a collaboration between Lil Wayne and Eminem, featuring production work by Hit-Boy.
-
D.
Big Drip
"Big Drip" is a breakout drill single by Brooklyn rapper Fivio Foreign that helped popularize the Brooklyn drill sound in the late 2010s.
-
E.
Droppin’ Em
"Droppin’ Em" is a track by LL Cool J featured on his 1989 hip hop album "Walking with a Panther."
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509de0b3081909bec337aa8ff193e |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e119fe4819085e5c1c6e71e6260 |
completed | April 10, 2026, 2:49 p.m. |
Created at: April 6, 2026, 12:28 p.m.