Triple
T12877181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gina Gershon |
E307998
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Rescue Me |
E308005
|
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: Rescue Me | Statement: [Gina Gershon, notableWork, Rescue Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rescue Me Context triple: [Gina Gershon, notableWork, Rescue Me]
-
A.
Rescue Me
chosen
Rescue Me is a 1992 action-comedy film in which Gina Gershon co-stars in a story about a young man trying to save his kidnapped girlfriend.
-
B.
Rescue Me
"Rescue Me" is a 2019 pop single by American band OneRepublic that blends anthemic hooks with emotional lyrics about conditional love and support.
-
C.
Rescue Me
Rescue Me is a darkly comedic drama television series centered on New York City firefighters coping with trauma, relationships, and life after 9/11.
-
D.
Rescue Me
"Rescue Me" is a 2010 hip hop and grime single by British rapper Skepta that gained mainstream attention for its crossover appeal and introspective lyrics.
-
E.
Love Rescue Me
"Love Rescue Me" is a gospel-influenced rock song by U2, co-written with Bob Dylan and known for its soulful, reflective lyrics and prominent use of brass and backing vocals.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fa8474819086a8af3c90f3ca84 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb83bac8190838f7537b806317c |
completed | May 3, 2026, 12:50 a.m. |
Created at: April 9, 2026, 5:38 p.m.