Triple
T2930041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Masser |
E78938
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Hold Me |
E96609
|
NE FINISHED |
How this triple was built (2 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: [Michael Masser, notableWork, Hold Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hold Me Context triple: [Michael Masser, notableWork, Hold Me]
-
A.
Hold Me
chosen
"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.
Can’t Hold Us Down
"Can’t Hold Us Down" is a feminist R&B/pop song by Christina Aguilera featuring Lil' Kim that challenges double standards and sexism in the music industry and society.
-
C.
Hold On
"Hold On" is a track by American rapper Pusha T from his critically acclaimed debut studio album "My Name Is My Name."
-
D.
Hold On
"Hold On" is a critically acclaimed blues-rock song by American band Alabama Shakes, known for Brittany Howard's powerful vocals and its role in bringing the band widespread recognition.
-
E.
Hold On
"Hold On" is a song featured on the album "Warning" by the American punk rock band Green Day.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad980191388190ac2455a7d9867be3 |
completed | March 8, 2026, 3:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b086703868819083eacc3fe392fde1 |
completed | March 10, 2026, 9 p.m. |
Created at: March 8, 2026, 2:55 p.m.