Triple
T22418054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Odell |
E554172
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object |
Hold Me
"Hold Me" is a piano-driven pop song by British singer-songwriter Tom Odell, known for its emotive vocals and anthemic, crescendo-building chorus.
|
E1535567
|
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: Hold Me | Statement: [Tom Odell, notableSingle, Hold Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hold Me Context triple: [Tom Odell, notableSingle, Hold Me]
-
A.
Hold Me
"Hold Me" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark," which was largely written and produced by the Bee Gees.
-
B.
Hold Me
"Hold Me" is an episode of the animated television series Rocket Power, centered on the adventures of a group of extreme-sports-loving kids.
-
C.
Hold Me
"Hold Me" is a 1985 pop album by American singer Laura Branigan that showcases her powerful vocals in a mix of synth-driven and adult contemporary tracks.
-
D.
Hold Me Tight
"Hold Me Tight" is an early Beatles pop-rock song written primarily by Paul McCartney, known for its upbeat tempo and harmonized vocals.
-
E.
Hold for Me
Hold for Me is a Google Phone feature that uses AI to wait on hold during calls and alerts you when a human representative returns.
- 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: Hold Me Triple: [Tom Odell, notableSingle, Hold Me]
Generated description
"Hold Me" is a piano-driven pop song by British singer-songwriter Tom Odell, known for its emotive vocals and anthemic, crescendo-building chorus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hold Me Target entity description: "Hold Me" is a piano-driven pop song by British singer-songwriter Tom Odell, known for its emotive vocals and anthemic, crescendo-building chorus.
-
A.
Hold Me
"Hold Me" is a song featured on Kenny Rogers' 1983 country-pop album "Eyes That See in the Dark," which was largely written and produced by the Bee Gees.
-
B.
Hold Me
"Hold Me" is an episode of the animated television series Rocket Power, centered on the adventures of a group of extreme-sports-loving kids.
-
C.
Hold Me
"Hold Me" is a 1985 pop album by American singer Laura Branigan that showcases her powerful vocals in a mix of synth-driven and adult contemporary tracks.
-
D.
Hold Me Tight
"Hold Me Tight" is an early Beatles pop-rock song written primarily by Paul McCartney, known for its upbeat tempo and harmonized vocals.
-
E.
Hold for Me
Hold for Me is a Google Phone feature that uses AI to wait on hold during calls and alerts you when a human representative returns.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15947dcc08190a584636f87669316 |
completed | April 29, 2026, 1:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0af0ec65ac81908c2ee86a54ff4731 |
completed | May 18, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_6a0af1e319848190bd12804239ba4d89 |
completed | May 18, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0af29431648190a506d5e1a4fc9ce7 |
completed | May 18, 2026, 11:05 a.m. |
Created at: April 16, 2026, 8:46 p.m.