Triple
T15080152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geoffrey Lewis |
E380117
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Only the Strong
Only the Strong is a 1993 martial arts action film centered on capoeira, in which Geoffrey Lewis appears alongside star Mark Dacascos.
|
E1136404
|
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: Only the Strong | Statement: [Geoffrey Lewis, notableWork, Only the Strong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Only the Strong Context triple: [Geoffrey Lewis, notableWork, Only the Strong]
-
A.
Only the Strong
"Only the Strong" is a song by British singer-songwriter Laura Marling from her critically acclaimed folk album "Song for Our Daughter."
-
B.
The Stronger
"The Stronger" is a short one-act play by August Strindberg, often noted for its intense psychological drama and use of a single speaking character.
-
C.
Every Ounce of Strength
"Every Ounce of Strength" is a song featured on the album "Comfort Me."
-
D.
The Strongest
The Strongest is a prominent Bolivian football club based in La Paz, known as one of the country’s oldest and most successful teams.
-
E.
The Tough Ones
The Tough Ones is a 1970s Italian poliziottesco crime-action film known for its gritty violence, tough cop antihero, and cult status among Eurocrime cinema fans.
- 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: Only the Strong Triple: [Geoffrey Lewis, notableWork, Only the Strong]
Generated description
Only the Strong is a 1993 martial arts action film centered on capoeira, in which Geoffrey Lewis appears alongside star Mark Dacascos.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Only the Strong Target entity description: Only the Strong is a 1993 martial arts action film centered on capoeira, in which Geoffrey Lewis appears alongside star Mark Dacascos.
-
A.
Only the Strong
"Only the Strong" is a song by British singer-songwriter Laura Marling from her critically acclaimed folk album "Song for Our Daughter."
-
B.
The Stronger
"The Stronger" is a short one-act play by August Strindberg, often noted for its intense psychological drama and use of a single speaking character.
-
C.
Every Ounce of Strength
"Every Ounce of Strength" is a song featured on the album "Comfort Me."
-
D.
The Strongest
The Strongest is a prominent Bolivian football club based in La Paz, known as one of the country’s oldest and most successful teams.
-
E.
The Tough Ones
The Tough Ones is a 1970s Italian poliziottesco crime-action film known for its gritty violence, tough cop antihero, and cult status among Eurocrime cinema fans.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dff80008c88190840f94222f867478 |
completed | April 15, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae15d6308190a62b4f66c550db04 |
completed | May 9, 2026, 3:46 a.m. |
| NEDg | Description generation | batch_69feaf8e1b508190b0b5ceb64d44fad6 |
completed | May 9, 2026, 3:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb038065c8190b60266644db64092 |
completed | May 9, 2026, 3:55 a.m. |
Created at: April 10, 2026, 3:03 a.m.