Triple
T17185987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Curtain Hits the Cast |
E417109
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object |
Standby
"Standby" is a song featured on the album *The Curtain Hits the Cast* by the American indie rock band Low.
|
E1256370
|
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: Standby | Statement: [The Curtain Hits the Cast, track, Standby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Standby Context triple: [The Curtain Hits the Cast, track, Standby]
-
A.
Stand-by
Stand-by is a French drama film featuring a notable performance by actress Dominique Blanc.
-
B.
Standby Reserve
The Standby Reserve is a category of the U.S. military reserve components consisting of trained individuals who are not in the Selected Reserve or Individual Ready Reserve but can be called to active duty under special circumstances.
-
C.
Please Stand By
Please Stand By is a 2017 comedy-drama film about a young autistic woman who runs away from her group home to submit her Star Trek script to a writing competition.
-
D.
Downtime
"Downtime" is a song featured on the album *Hard II Love* by American R&B artist Usher.
-
E.
Stand
"Stand" is a 1989 hit single by American rock band R.E.M., known for its upbeat, catchy sound and playful, socially conscious 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: Standby Triple: [The Curtain Hits the Cast, track, Standby]
Generated description
"Standby" is a song featured on the album *The Curtain Hits the Cast* by the American indie rock band Low.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Standby Target entity description: "Standby" is a song featured on the album *The Curtain Hits the Cast* by the American indie rock band Low.
-
A.
Stand-by
Stand-by is a French drama film featuring a notable performance by actress Dominique Blanc.
-
B.
Standby Reserve
The Standby Reserve is a category of the U.S. military reserve components consisting of trained individuals who are not in the Selected Reserve or Individual Ready Reserve but can be called to active duty under special circumstances.
-
C.
Please Stand By
Please Stand By is a 2017 comedy-drama film about a young autistic woman who runs away from her group home to submit her Star Trek script to a writing competition.
-
D.
Downtime
"Downtime" is a song featured on the album *Hard II Love* by American R&B artist Usher.
-
E.
Stand
"Stand" is a 1989 hit single by American rock band R.E.M., known for its upbeat, catchy sound and playful, socially conscious 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d962b988190bdbba81ac63c7e6e |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fcc424081908a7e74df0523443e |
completed | May 11, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_6a016184e0c0819099320b32bc471cad |
completed | May 11, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0162692420819097b99a71ec470861 |
completed | May 11, 2026, 5 a.m. |
Created at: April 10, 2026, 5:37 a.m.