Triple
T3128403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Name Is My Name |
E65350
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | 40 Acres |
E184992
|
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: 40 Acres | Statement: [My Name Is My Name, hasPart, 40 Acres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 40 Acres Context triple: [My Name Is My Name, hasPart, 40 Acres]
-
A.
40 Acres
chosen
40 Acres is a track by rapper Pusha T from his debut studio album "My Name Is My Name."
-
B.
Levee Green
Levee Green is an ambitious, hot-headed young trumpeter whose clashes with bandmates and white producers drive the central conflict in August Wilson’s play "Ma Rainey’s Black Bottom."
-
C.
Bearden
Bearden is a neighborhood and commercial district in Knoxville, Tennessee, known for its mix of residential areas, shopping centers, and local businesses.
-
D.
Overtown
Overtown is a historic neighborhood in Miami, Florida, known as one of the city's oldest African-American communities and a former cultural hub for Black entertainment and business.
-
E.
Greenwood
Greenwood is a residential neighborhood within the town of Bicester in Oxfordshire, England.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada548123c8190bcfe780c65941585 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f7c70108190b61177d1581fc33f |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.