Triple
T6188797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emma Moody Fitt |
E138133
|
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: [Emma Moody Fitt, familyName, Moody]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moody Context triple: [Emma Moody Fitt, 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 an American hip hop group known for its underground, jazz-influenced sound and collaborations with producer Hi-Tek.
-
D.
Mood
"Mood" is a popular Afrobeats song by Nigerian artist Wizkid, known for its smooth, laid-back vibe and melodic delivery.
-
E.
Stimmung
Stimmung is a groundbreaking 1968 vocal composition by Karlheinz Stockhausen that explores overtone singing, extended vocal techniques, and meditative repetition.
- 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_69c008a8fd408190b7ec6e42934974a6 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062192c5481909eb41f8c5d1208a3 |
completed | March 22, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f06c770819087e055cfe6c8b134 |
completed | March 23, 2026, 4:49 p.m. |
Created at: March 22, 2026, 4:19 p.m.