Triple
T21743636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mason Daring |
E536727
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Limbo
Limbo is a 1999 drama film directed by John Sayles, known for its blend of character-driven storytelling and suspense set in the Alaskan wilderness.
|
E1499387
|
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: Limbo | Statement: [Mason Daring, notableWork, Limbo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limbo Context triple: [Mason Daring, notableWork, Limbo]
-
A.
Limbo
Limbo is a critically acclaimed 2020 hip-hop album by American rapper Aminé that blends introspective lyricism with vibrant, melodic production.
-
B.
Limbo
Limbo is a film featuring actor Mason Lee in a prominent role.
-
C.
Limbo
"Limbo" is a globally popular reggaeton-dance track by Puerto Rican artist Daddy Yankee, known for its infectious rhythm and widespread success in Latin and international charts.
-
D.
Limbo
Limbo is an alternative rock album by Throwing Muses, known for its intricate songwriting and Kristin Hersh’s distinctive, emotionally charged vocals.
-
E.
Limbo
Limbo is the first circle of Hell in Dante Alighieri’s Divine Comedy, depicted as the abode of virtuous pagans and unbaptized souls who live without torment but forever separated from God.
- 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: Limbo Triple: [Mason Daring, notableWork, Limbo]
Generated description
Limbo is a 1999 drama film directed by John Sayles, known for its blend of character-driven storytelling and suspense set in the Alaskan wilderness.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Limbo Target entity description: Limbo is a 1999 drama film directed by John Sayles, known for its blend of character-driven storytelling and suspense set in the Alaskan wilderness.
-
A.
Limbo
Limbo is a film featuring actor Mason Lee in a prominent role.
-
B.
Limbo
Limbo is a critically acclaimed 2010 indie puzzle-platform video game known for its monochromatic art style, eerie atmosphere, and physics-based environmental puzzles.
-
C.
Limbo
Limbo is an alternative rock album by Throwing Muses, known for its intricate songwriting and Kristin Hersh’s distinctive, emotionally charged vocals.
-
D.
Limbo
Limbo is a critically acclaimed 2020 hip-hop album by American rapper Aminé that blends introspective lyricism with vibrant, melodic production.
-
E.
Limbo
"Limbo" is a globally popular reggaeton-dance track by Puerto Rican artist Daddy Yankee, known for its infectious rhythm and widespread success in Latin and international charts.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a74592c8190959af631d72df479 |
completed | April 28, 2026, 2:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a2eda02b88190900bae24fa93a504 |
completed | May 17, 2026, 9:10 p.m. |
| NEDg | Description generation | batch_6a0a301970b8819091b2c48289eee8fd |
completed | May 17, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a308ca2648190a365ea141a5335bb |
completed | May 17, 2026, 9:18 p.m. |
Created at: April 16, 2026, 6:49 p.m.