Triple
T20388754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unhook the Stars |
E498028
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Gloria Reuben |
—
|
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: Gloria Reuben | Statement: [Unhook the Stars, starring, Gloria Reuben]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gloria Reuben Context triple: [Unhook the Stars, starring, Gloria Reuben]
-
A.
Gloria Reuben
chosen
Gloria Reuben is a Canadian-American actress and singer best known for her Emmy-nominated role on the television series "ER" and appearances in films such as "Lincoln" and "Timecop."
-
B.
Gloria Millington
Gloria Millington is a fictional character from the "Kingdom" series, known for her role within its dramatic, character-driven storyline.
-
C.
Gloria Delson
Gloria Delson was the wife of acclaimed American songwriter Sammy Cahn.
-
D.
Gloria Gregory
Gloria Gregory is a character in the film "Goodbye Bafana," which portrays the relationship between Nelson Mandela and his white prison guard during apartheid in South Africa.
-
E.
Gloria Foster
Gloria Foster was an American actress best known for her acclaimed stage work and for portraying the Oracle in the first two films of The Matrix trilogy.
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790d9e5881908bde7da9e5e541a0 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.