Triple
T14853922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Hill (Goodfellas) |
E349300
|
entity |
| Predicate | entersProgram |
P75521
|
FINISHED |
| Object | witness protection program |
—
|
LITERAL 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: witness protection program | Statement: [Henry Hill (Goodfellas), entersProgram, witness protection program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: entersProgram Context triple: [Henry Hill (Goodfellas), entersProgram, witness protection program]
-
A.
enteredStud
chosen
Indicates that a student has enrolled in or begun attending a particular course, program, or institution.
-
B.
entersBy
Indicates that one entity moves into or gains access to another entity through a specified entrance, route, or means.
-
C.
entersFrom
Indicates that one entity moves into or arrives at a place, state, or context by coming from another specified source or location.
-
D.
intendedProgram
Indicates the academic or training program that an entity plans or expects to pursue, rather than one they are currently enrolled in or have completed.
-
E.
madeProgram
Indicates that one entity created, developed, or authored a program (such as software or a coded application).
- F. None of above.
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_69d822ed7e1881909b90fca143ad7e34 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded44318f0819080b6c599f2d3474f |
completed | April 14, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69de8c1798c08190b433e9ad21e41a42 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:54 a.m.