Triple
T10004919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Come Around Sundown |
E198216
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
The Face
"The Face" is a song by British rock band Kings of Leon from their 2010 album *Come Around Sundown*.
|
E835923
|
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: The Face | Statement: [Come Around Sundown, hasTrack, The Face]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Face Context triple: [Come Around Sundown, hasTrack, The Face]
-
A.
The Naked Face
The Naked Face is a psychological thriller novel by Sidney Sheldon that follows a psychoanalyst entangled in a deadly mystery after his patients are murdered.
-
B.
No Name Face
No Name Face is the debut studio album by American rock band Lifehouse, known for featuring their breakthrough hit single "Hanging by a Moment."
-
C.
About Face
"About Face" is a 1952 American military comedy film starring William Tracy, known for its lighthearted portrayal of army life.
-
D.
Two Faces
Two Faces is a song by Bruce Springsteen from his 1987 album "Tunnel of Love," reflecting themes of inner conflict and emotional duality.
-
E.
Unmasking the Face
Unmasking the Face is a psychology book that explains how to recognize and interpret human emotions through facial expressions, co-authored by Paul Ekman.
- 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: The Face Triple: [Come Around Sundown, hasTrack, The Face]
Generated description
"The Face" is a song by British rock band Kings of Leon from their 2010 album *Come Around Sundown*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Face Target entity description: "The Face" is a song by British rock band Kings of Leon from their 2010 album *Come Around Sundown*.
-
A.
The Naked Face
The Naked Face is a psychological thriller novel by Sidney Sheldon that follows a psychoanalyst entangled in a deadly mystery after his patients are murdered.
-
B.
No Name Face
No Name Face is the debut studio album by American rock band Lifehouse, known for featuring their breakthrough hit single "Hanging by a Moment."
-
C.
About Face
"About Face" is a 1952 American military comedy film starring William Tracy, known for its lighthearted portrayal of army life.
-
D.
Two Faces
Two Faces is a song by Bruce Springsteen from his 1987 album "Tunnel of Love," reflecting themes of inner conflict and emotional duality.
-
E.
Unmasking the Face
Unmasking the Face is a psychology book that explains how to recognize and interpret human emotions through facial expressions, co-authored by Paul Ekman.
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd157d9c8190b863e4264f9a48b1 |
completed | April 2, 2026, 1:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a5058a08190b850d30ca0ee8bc8 |
completed | April 5, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69d26b6d52e8819082fed0bfdaf48e4c |
completed | April 5, 2026, 2:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26c3d5f2081909bf1a1565b66eca9 |
completed | April 5, 2026, 2:05 p.m. |
Created at: March 30, 2026, 8:51 p.m.