Triple
T11638477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constance Talmadge |
E276588
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Good Night, Paul
Good Night, Paul is a 1918 silent comedy film starring popular American actress Constance Talmadge.
|
E937400
|
NE FINISHED |
How this triple was built (4 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: Good Night, Paul | Statement: [Constance Talmadge, notableWork, Good Night, Paul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Good Night, Paul Context triple: [Constance Talmadge, notableWork, Good Night, Paul]
-
A.
Gute Nacht
"Gute Nacht" is the somber, wandering first song of Franz Schubert’s song cycle *Winterreise*, setting Wilhelm Müller’s poetry to music.
-
B.
And We Bid You Goodnight
"And We Bid You Goodnight" is a traditional Bahamian spiritual famously adapted and performed by the Grateful Dead as a gentle, hymn-like concert closer.
-
C.
A Good Lad
A Good Lad is a Soviet-era film directed by Boris Barnet, known for its humanistic storytelling and characteristic blend of lyricism and realism.
-
D.
Goodbye and Good Luck
"Goodbye and Good Luck" is a song by the British rock band High Fidelity, known among fans as one of the group's standout tracks.
-
E.
Goodnight
"Goodnight" is a track from PJ Harvey's acclaimed 1993 album "Rid of Me," known for its stark, emotionally raw sound.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Good Night, Paul Triple: [Constance Talmadge, notableWork, Good Night, Paul]
Generated description
Good Night, Paul is a 1918 silent comedy film starring popular American actress Constance Talmadge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Good Night, Paul Target entity description: Good Night, Paul is a 1918 silent comedy film starring popular American actress Constance Talmadge.
-
A.
Gute Nacht
"Gute Nacht" is the somber, wandering first song of Franz Schubert’s song cycle *Winterreise*, setting Wilhelm Müller’s poetry to music.
-
B.
And We Bid You Goodnight
"And We Bid You Goodnight" is a traditional Bahamian spiritual famously adapted and performed by the Grateful Dead as a gentle, hymn-like concert closer.
-
C.
A Good Lad
A Good Lad is a Soviet-era film directed by Boris Barnet, known for its humanistic storytelling and characteristic blend of lyricism and realism.
-
D.
Goodbye and Good Luck
"Goodbye and Good Luck" is a song by the British rock band High Fidelity, known among fans as one of the group's standout tracks.
-
E.
Goodnight
"Goodnight" is a track from PJ Harvey's acclaimed 1993 album "Rid of Me," known for its stark, emotionally raw sound.
- F. None of above. chosen
Provenance (5 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25e90c08190b7fb73939a2be3d7 |
completed | April 10, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87d006e881908e008ffa17502d47 |
completed | April 26, 2026, 9:46 p.m. |
| NEDg | Description generation | batch_69eeb31438f88190bab71212293f2d2e |
completed | April 27, 2026, 12:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69eecd715b448190b738479b7c1379a2 |
completed | April 27, 2026, 2:44 a.m. |
Created at: April 8, 2026, 9:39 p.m.