Triple
T20324100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Duryea |
E492286
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Too Late for Tears |
E1102516
|
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: Too Late for Tears | Statement: [Dan Duryea, notableWork, Too Late for Tears]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Too Late for Tears Context triple: [Dan Duryea, notableWork, Too Late for Tears]
-
A.
Too Late for Tears
chosen
Too Late for Tears is a 1949 film noir thriller about a housewife corrupted by a sudden windfall of illicit cash, noted for Lizabeth Scott’s hard-edged, morally ambiguous performance.
-
B.
No Time for Tears
"No Time for Tears" is a song by American singer Ashlee Simpson from her pop-rock album "Bittersweet World."
-
C.
So Many Tears
"So Many Tears" is a reflective and emotionally charged song by Tupac Shakur that explores themes of pain, loss, and inner turmoil.
-
D.
There Will Be Tears
"There Will Be Tears" is a pop and R&B-influenced song by British singer-songwriter and producer Mr Hudson, known for its emotional lyrics and polished, melodic production.
-
E.
Hold Back the Tears
"Hold Back the Tears" is a song by Neil Young featured on his 1977 album *American Stars 'n Bars*.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778e59508190bfd7a3ce44d56a93 |
completed | April 20, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08612cc2c0819092d074fda6f0d995 |
completed | May 16, 2026, 12:21 p.m. |
Created at: April 16, 2026, 11:21 a.m.