Triple
T5127871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Mistoffelees |
E115626
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Cats |
E138399
|
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: Cats | Statement: [Mr. Mistoffelees, notableWork, Cats]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cats Context triple: [Mr. Mistoffelees, notableWork, Cats]
-
A.
Cats
chosen
Cats is a long-running, award-winning musical composed by Andrew Lloyd Webber, based on T.S. Eliot’s "Old Possum’s Book of Practical Cats," renowned for its distinctive costumes, choreography, and songs like "Memory."
-
B.
Catz
Catz is the informal nickname for St Catharine’s College, one of the constituent colleges of the University of Cambridge.
-
C.
Catz
Catz is the surname of Safra Catz, a prominent business executive best known as the CEO of Oracle Corporation.
-
D.
CAT
CAT is a globally recognized industrial brand best known for its heavy construction machinery, engines, and rugged workwear.
-
E.
CAT
The Committee for Advanced Therapies is a scientific body within the European Medicines Agency responsible for assessing advanced therapy medicinal products such as gene, cell, and tissue-engineered therapies.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd782428a081909583c7f368226daf |
completed | March 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef7f117ac8190a03379437484627b |
completed | March 21, 2026, 7:56 p.m. |
Created at: March 20, 2026, 1:42 p.m.