Triple
T21743256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A. J. Langer |
E536718
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object |
Eyes Afire
Eyes Afire is a film or television production featuring actress A. J. Langer in its cast.
|
E1499362
|
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: Eyes Afire | Statement: [A. J. Langer, appearedIn, Eyes Afire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eyes Afire Context triple: [A. J. Langer, appearedIn, Eyes Afire]
-
A.
Head on Fire
"Head on Fire" is a pop song by Norwegian singer-songwriter Sigrid, known for its emotive vocals and anthemic, synth-driven production.
-
B.
The Devil In Your Eyes
The Devil In Your Eyes is a track from the progressive metal album "The Human Condition" by Saga.
-
C.
Ablaze
"Ablaze" is a song by American singer-songwriter Alanis Morissette from her 2020 album "Such Pretty Forks in the Road," reflecting her introspective, emotionally candid style.
-
D.
Hungry Eyes
"Hungry Eyes" is a pop song best known for its romantic, synth-driven style and later widespread recognition from its inclusion in the film Dirty Dancing.
-
E.
Stand in the Fire
Stand in the Fire is a live album by American singer-songwriter Warren Zevon, celebrated for its energetic performances and raw, rock-driven 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: Eyes Afire Triple: [A. J. Langer, appearedIn, Eyes Afire]
Generated description
Eyes Afire is a film or television production featuring actress A. J. Langer in its cast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eyes Afire Target entity description: Eyes Afire is a film or television production featuring actress A. J. Langer in its cast.
-
A.
Head on Fire
"Head on Fire" is a pop song by Norwegian singer-songwriter Sigrid, known for its emotive vocals and anthemic, synth-driven production.
-
B.
The Devil In Your Eyes
The Devil In Your Eyes is a track from the progressive metal album "The Human Condition" by Saga.
-
C.
Ablaze
"Ablaze" is a song by American singer-songwriter Alanis Morissette from her 2020 album "Such Pretty Forks in the Road," reflecting her introspective, emotionally candid style.
-
D.
Hungry Eyes
"Hungry Eyes" is a pop song best known for its romantic, synth-driven style and later widespread recognition from its inclusion in the film Dirty Dancing.
-
E.
Stand in the Fire
Stand in the Fire is a live album by American singer-songwriter Warren Zevon, celebrated for its energetic performances and raw, rock-driven 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_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.