Triple
T16296513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leave Her to Heaven |
E395660
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Darryl Hickman |
E518395
|
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: Darryl Hickman | Statement: [Leave Her to Heaven, starring, Darryl Hickman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darryl Hickman Context triple: [Leave Her to Heaven, starring, Darryl Hickman]
-
A.
Darryl Hickman
chosen
Darryl Hickman is an American former child actor and film and television performer known for roles in classic Hollywood films and later work as a television executive and acting coach.
-
B.
Daryl Hicks
Daryl Hicks is a notable individual recognized for achievements significant enough to be distinguished among people sharing the surname Hicks.
-
C.
Darryl Miller
Darryl Miller is known primarily as the brother of Hall of Fame NBA shooting guard Reggie Miller.
-
D.
Darryl Pearson
Darryl Pearson is an American record producer and songwriter known for his work in R&B and hip hop with prominent artists in the 1990s and 2000s.
-
E.
Darryl Hart
Darryl Hart is an author best known for writing the work "Go Gone."
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e2dcdac819083918f0964dd5666 |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f3d8f188190969b75d82c6b13f0 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:06 a.m.