Triple
T6759733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cybill Shepherd |
E154558
|
entity |
| Predicate | participatedIn |
P149
|
FINISHED |
| Object | Chances Are |
E618691
|
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: Chances Are | Statement: [Cybill Shepherd, participatedIn, Chances Are]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chances Are Context triple: [Cybill Shepherd, participatedIn, Chances Are]
-
A.
Chances Are
chosen
Chances Are is a 1989 romantic comedy film best known for its reincarnation-themed love story and starring Cybill Shepherd, Robert Downey Jr., and Ryan O’Neal.
-
B.
Taking Chances
Taking Chances is a pop album by Canadian singer Celine Dion that marked her return to English-language studio recordings in the late 2000s.
-
C.
I Take My Chances
"I Take My Chances" is a country song best known from its hit recording by Mary Chapin Carpenter, co-written with Don Schlitz, that reflects on risk, faith, and personal independence.
-
D.
One Chance
One Chance is a 2013 British biographical comedy-drama film about opera singer Paul Potts, directed by David Frankel.
-
E.
Chancy
Chancy is a small Swiss municipality located at the western tip of the canton of Geneva, near the border with France.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d21143748190beaab2488971d65b |
completed | March 27, 2026, 6:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a78feb8819084314c2ae043d289 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:12 p.m.