Triple
T11034056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AT&T Station |
E260830
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Pattison |
E409360
|
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: Pattison | Statement: [AT&T Station, formerName, Pattison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pattison Context triple: [AT&T Station, formerName, Pattison]
-
A.
Pattison
chosen
Pattison was the original name of what is now known as Pattison Avenue station, a transit station in Philadelphia.
-
B.
Scott Patterson
Scott Patterson is an American actor best known for playing diner owner Luke Danes on the television series "Gilmore Girls."
-
C.
Edi Patterson
Edi Patterson is an American actress and comedian known for her offbeat, scene-stealing roles in film and television, including series like "The Righteous Gemstones" and "Vice Principals."
-
D.
Steven Patterson
Steven Patterson is a relatively obscure individual whose primary distinction is sharing the surname associated with the Patterson family name.
-
E.
Lover Patterson
Lover Patterson was a songwriter best known for his work on the R&B hit "There Goes My Baby."
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797e709648190adbb05197e15ff76 |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9b70074819084c725c5babf2fb7 |
completed | April 18, 2026, 3:56 p.m. |
Created at: April 8, 2026, 9:25 p.m.