Triple
T23411635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dance and the Railroad |
E560082
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Ma |
—
|
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: Ma | Statement: [The Dance and the Railroad, featuresCharacter, Ma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ma Context triple: [The Dance and the Railroad, featuresCharacter, Ma]
-
A.
Ma
chosen
Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
-
B.
Ma
Ma is a 2019 psychological horror film starring Octavia Spencer as a lonely woman who befriends a group of teenagers with increasingly disturbing consequences.
-
C.
Ma
"Ma" is a track from the album "Masterpiece," likely contributing to the record's overall artistic and musical identity.
-
D.
Ma
Ma is an ancient Anatolian mother and warrior goddess associated with fertility, protection, and local cult worship in regions such as Comana.
-
E.
Ma
Ma was an ancient Libyan tribal group known from Egyptian sources, particularly in connection with the 8th-century BCE ruler Tefnakht.
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a51183bc8190bd4860607b26b4b2 |
completed | April 29, 2026, 6:28 a.m. |
Created at: April 17, 2026, 5:38 p.m.