Triple
T23540719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Desmond Harrington |
E577737
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Rescue Me |
—
|
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: Rescue Me | Statement: [Desmond Harrington, appearedIn, Rescue Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rescue Me Context triple: [Desmond Harrington, appearedIn, Rescue Me]
-
A.
Rescue Me
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 song by American rock band Thirty Seconds to Mars that blends atmospheric rock and electronic elements to explore themes of emotional struggle and the desire for liberation.
-
D.
Rescue Me
"Rescue Me" is a 1965 soul hit by American singer Fontella Bass, widely regarded as her signature song and a classic of the genre.
-
E.
Rescue Me
chosen
Rescue Me is a darkly comedic drama television series centered on New York City firefighters coping with trauma, relationships, and life after 9/11.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1b3a8c8190b5b6a58f0476c5d2 |
completed | April 29, 2026, 7:07 a.m. |
Created at: April 17, 2026, 6:10 p.m.