Triple
T23351098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elm Street |
E592011
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Elm Street |
—
|
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: Elm Street | Statement: [Elm Street, hasName, Elm Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elm Street Context triple: [Elm Street, hasName, Elm Street]
-
A.
Elm Street
Elm Street is a historically significant street that lends its name to the Elm Street Historic District, known for its preserved architecture and cultural heritage.
-
B.
Elm Street
Elm Street is a roadway that passes over the Elm Street viaduct, serving as a local transportation route in its area.
-
C.
Elm Street
Elm Street is a notable street in downtown Dallas, Texas, best known as the site of President John F. Kennedy’s assassination in 1963.
-
D.
Elm Street
Elm Street is a prominent street in New Haven, Connecticut, running alongside Yale University’s central Cross Campus and lined with academic buildings and historic architecture.
-
E.
Elm Street
Elm Street is the fictional suburban street in the "A Nightmare on Elm Street" horror franchise, notorious as the haunting ground of Freddy Krueger and home to protagonist Nancy Thompson.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a1401748190b77df0a45c2aeebf |
completed | April 29, 2026, 5:41 a.m. |
Created at: April 17, 2026, 5:20 p.m.