Triple
T22190517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Jebediah Freeman |
E548408
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Woodcrest |
—
|
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: Woodcrest | Statement: [Robert Jebediah Freeman, residence, Woodcrest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Woodcrest Context triple: [Robert Jebediah Freeman, residence, Woodcrest]
-
A.
Woodcrest
chosen
Woodcrest is the fictional suburban neighborhood that serves as the primary setting for the animated television series "The Boondocks."
-
B.
Crestmont
Crestmont is a residential community and neighborhood located within Abington Township in Montgomery County, Pennsylvania.
-
C.
Crestmont
Crestmont is a community that succeeded the former locality of Gracemont, representing its modern continuation or replacement.
-
D.
Woodgrove
Woodgrove is a residential subzone within the Woodlands planning area in northern Singapore, known for its housing estates and proximity to schools and community amenities.
-
E.
Crestline
Crestline is a small mountain community and popular lakeside getaway located in Southern California’s San Bernardino Mountains.
- 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae3e8148190a23decd2dfe24e28 |
completed | April 28, 2026, 9:47 p.m. |
Created at: April 16, 2026, 8:35 p.m.