Triple
T16707162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Snyder |
E405999
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Tomorrow
Tomorrow was a late-night television talk show hosted by Tom Snyder that aired on NBC in the 1970s and early 1980s, known for its in-depth interviews and conversational style.
|
E1229376
|
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: Tomorrow | Statement: [Tom Snyder, notableWork, Tomorrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomorrow Context triple: [Tom Snyder, notableWork, Tomorrow]
-
A.
Tomorrow
"Tomorrow" is a song by John Legend from his R&B album *Love in the Future*.
-
B.
Tomorrow
"Tomorrow" is an immersive, large-scale installation by the artist duo Elmgreen & Dragset that stages a fictional domestic environment to explore themes of identity, class, and social performance.
-
C.
Tomorrow
"Tomorrow" is a musical number featured in the production "Leave It to Me!"
-
D.
Tomorrow
"Tomorrow" is a song featured on the album "Wild Life" by Paul McCartney and Wings.
-
E.
Tomorrow
"Tomorrow" is a song by Mika (Michael Holbrook Penniman Jr.) from his album *My Name Is Michael Holbrook*, blending upbeat pop melodies with introspective lyrics about hope and uncertainty.
- 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: Tomorrow Triple: [Tom Snyder, notableWork, Tomorrow]
Generated description
Tomorrow was a late-night television talk show hosted by Tom Snyder that aired on NBC in the 1970s and early 1980s, known for its in-depth interviews and conversational style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tomorrow Target entity description: Tomorrow was a late-night television talk show hosted by Tom Snyder that aired on NBC in the 1970s and early 1980s, known for its in-depth interviews and conversational style.
-
A.
Tomorrow
Tomorrow was a short-lived but influential late-1960s British psychedelic rock band known for its experimental sound and for featuring guitarist Steve Howe before he joined Yes.
-
B.
Tomorrow
"Tomorrow" is a musical number featured in the production "Leave It to Me!"
-
C.
Tomorrow
"Tomorrow" is an immersive, large-scale installation by the artist duo Elmgreen & Dragset that stages a fictional domestic environment to explore themes of identity, class, and social performance.
-
D.
Tomorrow
"Tomorrow" is a song featured on the album "Wild Life" by Paul McCartney and Wings.
-
E.
Tomorrow
"Tomorrow" is a song from the musical *Come Home with Me*, likely serving as one of its notable musical numbers.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3833695908190afd4d2ece233be00 |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091a50eac81908af26a5131bf0a6c |
completed | May 10, 2026, 2:09 p.m. |
| NEDg | Description generation | batch_6a00925fda608190b3674bd5e9ca6bf5 |
completed | May 10, 2026, 2:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00939075d88190a63cdd942eb3fea8 |
completed | May 10, 2026, 2:17 p.m. |
Created at: April 10, 2026, 5:19 a.m.