Triple
T5193200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Dwight Moody |
E117205
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Moody |
E115868
|
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: Moody | Statement: [Paul Dwight Moody, familyName, Moody]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moody Context triple: [Paul Dwight Moody, familyName, Moody]
-
A.
Moody
chosen
Moody is a surname of English origin most famously associated with the 19th-century American evangelist Dwight L. Moody.
-
B.
The Mood
"The Mood" is a track by Kid Cudi from his album *Man on the Moon II: The Legend of Mr. Rager*, known for its introspective lyrics and atmospheric production.
-
C.
Mood
"Mood" is a popular Afrobeats song by Nigerian artist Wizkid, known for its smooth, laid-back vibe and melodic delivery.
-
D.
Melancholy
Melancholy is an 1890s painting by Edvard Munch that portrays a brooding, introspective figure on a shoreline, exemplifying the artist’s exploration of emotional anxiety and existential despair.
-
E.
So Emotional
"So Emotional" is a 1987 dance-pop song by Whitney Houston that became one of her number-one hits on the Billboard Hot 100.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79efd16c8190b0b16278a00baecd |
completed | March 20, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee0943ce48190838aff0cfd12c655 |
completed | March 21, 2026, 6:16 p.m. |
Created at: March 20, 2026, 1:46 p.m.