Triple
T20578919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Every Kind of Mood – Randy, Randi, Randee |
E505300
|
entity |
| Predicate | hasTitleCharacter |
P5716
|
FINISHED |
| Object | Randi |
—
|
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: Randi | Statement: [Every Kind of Mood – Randy, Randi, Randee, hasTitleCharacter, Randi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randi Context triple: [Every Kind of Mood – Randy, Randi, Randee, hasTitleCharacter, Randi]
-
A.
Randi
chosen
Randi is a feminine given name most notably borne by Randi Zuckerberg, an American businesswoman and former Facebook executive.
-
B.
Randi Reisfeld
Randi Reisfeld is an American author best known for her young adult and teen fiction, including popular series and media tie-in novels.
-
C.
Randi Richmond
Randi Richmond is a music producer known for work on the track "Daylight."
-
D.
Randi Rhodes
Randi Rhodes is a progressive talk radio host best known for her outspoken, left-leaning political commentary and national prominence during the 2000s.
-
E.
Randall Peltzer
Randall Peltzer is an eccentric inventor and the well-meaning father in the 1984 horror-comedy film "Gremlins."
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a90cc22c8190969e3a21ae92f1c9 |
completed | April 20, 2026, 10:30 p.m. |
Created at: April 16, 2026, 11:39 a.m.