Triple
T22540251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prometheus (2012 film score) |
E557268
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Too Close
"Too Close" is a musical track featured on the soundtrack of the 2012 science fiction film "Prometheus," composed by Marc Streitenfeld.
|
E1541682
|
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: Too Close | Statement: [Prometheus (2012 film score), hasTrack, Too Close]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Too Close Context triple: [Prometheus (2012 film score), hasTrack, Too Close]
-
A.
Too Close
"Too Close" is a 2011 electro-soul song by British singer Alex Clare that gained widespread popularity after being featured in a major Internet Explorer commercial.
-
B.
Too Close
"Too Close" is a 1998 R&B hit single by American group Next, best known for its sensual lyrics and chart-topping success.
-
C.
So Close
So Close is a popular song by South Korean singer JR, recognized as one of his standout solo releases.
-
D.
So Close
"So Close" is a popular electronic dance track by German DJ and producer Felix Jaehn, known for its catchy melody and radio-friendly sound.
-
E.
Come Close
"Come Close" is a soulful hip-hop single by Common, produced by The Neptunes and known for its intimate, romantic lyrics.
- 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: Too Close Triple: [Prometheus (2012 film score), hasTrack, Too Close]
Generated description
"Too Close" is a musical track featured on the soundtrack of the 2012 science fiction film "Prometheus," composed by Marc Streitenfeld.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Too Close Target entity description: "Too Close" is a musical track featured on the soundtrack of the 2012 science fiction film "Prometheus," composed by Marc Streitenfeld.
-
A.
Too Close
"Too Close" is a 2011 electro-soul song by British singer Alex Clare that gained widespread popularity after being featured in a major Internet Explorer commercial.
-
B.
Too Close
"Too Close" is a 1998 R&B hit single by American group Next, best known for its sensual lyrics and chart-topping success.
-
C.
So Close
So Close is a popular song by South Korean singer JR, recognized as one of his standout solo releases.
-
D.
So Close
"So Close" is a popular electronic dance track by German DJ and producer Felix Jaehn, known for its catchy melody and radio-friendly sound.
-
E.
Come Close
"Come Close" is a soulful hip-hop single by Common, produced by The Neptunes and known for its intimate, romantic lyrics.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f3196fc819098deffb0c7932ccc |
completed | April 29, 2026, 1:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b1de5c3a8819094bd269d3097fc1b |
completed | May 18, 2026, 2:10 p.m. |
| NEDg | Description generation | batch_6a0b1edfa7b88190b51bebc22e3116c4 |
completed | May 18, 2026, 2:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b1f777a548190b6e13a349b090c5b |
completed | May 18, 2026, 2:17 p.m. |
Created at: April 16, 2026, 8:51 p.m.