Triple
T11028976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Could Never Rescue You |
E260708
|
entity |
| Predicate | performerRole |
P9616
|
FINISHED |
| Object | Cathy |
E899777
|
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: Cathy | Statement: [I Could Never Rescue You, performerRole, Cathy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cathy Context triple: [I Could Never Rescue You, performerRole, Cathy]
-
A.
Cathy
Cathy is the passionate, headstrong heroine of Emily Brontë’s novel "Wuthering Heights," whose intense relationships and inner turmoil drive much of the story’s drama.
-
B.
Cathy
Cathy is a key supporting character in the 1968 crime thriller film "Bullitt," serving as the romantic partner of San Francisco police lieutenant Frank Bullitt.
-
C.
Cathy
Cathy is the central, tragic protagonist of the 1966 British television drama "Cathy Come Home," whose struggles with poverty and homelessness highlighted social issues and influenced public attitudes and policy.
-
D.
Cathy
chosen
Cathy is a singer known for performing the song "Still Hurting."
-
E.
Kathy
Kathy is the given name of Kathy Hochul, the 57th governor of New York and the first woman to hold that office.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797d245a0819085135cdee9b256c5 |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e72b5e3881908e7230c03dc35f85 |
completed | April 18, 2026, 8:18 p.m. |
Created at: April 8, 2026, 9:25 p.m.