Triple
T12671544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oliver Putnam |
E302695
|
entity |
| Predicate | cohostsPodcastWith |
P5275
|
FINISHED |
| Object | Mabel Mora |
E321278
|
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: Mabel Mora | Statement: [Oliver Putnam, cohostsPodcastWith, Mabel Mora]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mabel Mora Context triple: [Oliver Putnam, cohostsPodcastWith, Mabel Mora]
-
A.
Mabel Mora
chosen
Mabel Mora is a sharp-witted, enigmatic young woman and true-crime enthusiast who becomes one of the central amateur sleuths investigating murders in the comedy-mystery series "Only Murders in the Building."
-
B.
Mabel Rivera
Mabel Rivera is a Spanish actress best known internationally for her role in the acclaimed film "The Sea Inside."
-
C.
Lucilla Crespin
Lucilla Crespin is a fictional character featured in the 1923 silent drama film "The Green Goddess."
-
D.
Rosa Loy
Rosa Loy is a contemporary German painter associated with the New Leipzig School, known for her enigmatic, dreamlike figurative works that often explore female perspectives and surreal narratives.
-
E.
Gladys Serra
Gladys Serra was the mother of American minimalist sculptor Richard Serra.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96facb2d48190bc12efc00c9da360 |
completed | April 10, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b88d7048190bb584aa48bba5288 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:20 p.m.