Triple
T11026993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenny Curran |
E260650
|
entity |
| Predicate | grewUpIn |
P1041
|
FINISHED |
| Object | Greenbow, Alabama |
E727200
|
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: Greenbow, Alabama | Statement: [Jenny Curran, grewUpIn, Greenbow, Alabama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenbow, Alabama Context triple: [Jenny Curran, grewUpIn, Greenbow, Alabama]
-
A.
Greenbow, Alabama
chosen
Greenbow, Alabama is the fictional small Southern town that serves as Forrest Gump’s hometown in the film and novel "Forrest Gump."
-
B.
Bridgeport, Alabama
Bridgeport, Alabama is a small city in northeastern Alabama near the Tennessee border, known as the gateway community to the prehistoric Russell Cave National Monument.
-
C.
Riverview, Alabama
Riverview, Alabama is a small town located in Escambia County in the southern part of the U.S. state of Alabama.
-
D.
Webb, Alabama
Webb, Alabama is a small town located in southeastern Alabama within the Dothan metropolitan area.
-
E.
Courtland, Alabama
Courtland, Alabama is a small historic town in northern Alabama known for its 19th-century architecture and role in the region’s early transportation and cotton economy.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797d190f08190bcb5949ee24306f1 |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3753451e08190bc42ab99d01926f9 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 8, 2026, 9:25 p.m.