Triple
T20487250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Think I Love You |
E502629
|
entity |
| Predicate | composer |
P1361
|
FINISHED |
| Object | Tony Romeo |
—
|
NE NERFINISHED |
How this triple was built (3 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: Tony Romeo | Statement: [I Think I Love You, composer, Tony Romeo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Romeo Context triple: [I Think I Love You, composer, Tony Romeo]
-
A.
Tommy Vega
Tommy Vega is a fictional paramedic captain and devoted mother featured in the television drama series "9-1-1: Lone Star."
-
B.
Ron Dante
Ron Dante is an American singer, record producer, and songwriter best known as the lead vocalist for The Archies and for producing numerous hits for Barry Manilow.
-
C.
Anthony Zacchara
Anthony Zacchara is a ruthless mob boss and crime lord on the soap opera "General Hospital," known for his violent, unpredictable nature and long-running feud with Sonny Corinthos.
-
D.
Mark Arcobello
Mark Arcobello is an American professional ice hockey forward known for his NHL stints with multiple teams and a highly successful career in European leagues, particularly in Switzerland’s National League.
-
E.
Marco Ramone
Marco Ramone is a central student character in the 2009 musical drama film "Fame," which follows aspiring performers at a New York performing arts high school.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tony Romeo Target entity description: Tony Romeo was an American songwriter best known for crafting catchy pop hits in the late 1960s and early 1970s, particularly for artists like The Partridge Family.
-
A.
Tommy Vega
Tommy Vega is a fictional paramedic captain and devoted mother featured in the television drama series "9-1-1: Lone Star."
-
B.
Ron Dante
Ron Dante is an American singer, record producer, and songwriter best known as the lead vocalist for The Archies and for producing numerous hits for Barry Manilow.
-
C.
Anthony Zacchara
Anthony Zacchara is a ruthless mob boss and crime lord on the soap opera "General Hospital," known for his violent, unpredictable nature and long-running feud with Sonny Corinthos.
-
D.
Mark Arcobello
Mark Arcobello is an American professional ice hockey forward known for his NHL stints with multiple teams and a highly successful career in European leagues, particularly in Switzerland’s National League.
-
E.
Marco Ramone
Marco Ramone is a central student character in the 2009 musical drama film "Fame," which follows aspiring performers at a New York performing arts high school.
- F. None of above. chosen
Provenance (2 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b5b96c0819080c47064143cdbc9 |
completed | April 20, 2026, 9:32 p.m. |
Created at: April 16, 2026, 11:34 a.m.