Triple
T5773603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pharcyde |
E127385
|
entity |
| Predicate | formerMember |
P1168
|
FINISHED |
| Object | Fatlip |
E544944
|
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: Fatlip | Statement: [The Pharcyde, formerMember, Fatlip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fatlip Context triple: [The Pharcyde, formerMember, Fatlip]
-
A.
Fatlip
chosen
Fatlip is an American rapper best known as a former member of the influential alternative hip hop group The Pharcyde.
-
B.
Fat rascal
Fat rascal is a rich, fruity, scone-like teatime bake from Yorkshire, often studded with currants and cherries and traditionally served warm with butter.
-
C.
Fatso
Fatso is one of the mischievous Ghostly Trio uncles in the 1995 live-action film "Casper," known for his gluttonous, crude, and comedic personality.
-
D.
The Fat One
The Fat One is the English translation of the Italian nickname "La Grassa," often used to refer to the city of Bologna for its rich culinary tradition.
-
E.
Fatman
Fatman is a darkly comedic action film in which Mel Gibson portrays a gritty, world-weary Santa Claus targeted by an assassin.
- 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029af681081908276e99c568561ce |
completed | March 22, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09809cfcc8190b4d55db4b74316c7 |
completed | March 23, 2026, 1:31 a.m. |
Created at: March 22, 2026, 3:50 p.m.