Triple
T13865734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teddy Pendergrass |
E333319
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | “Love T.K.O.” |
E700286
|
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: “Love T.K.O.” | Statement: [Teddy Pendergrass, notableWork, “Love T.K.O.”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Love T.K.O.” Context triple: [Teddy Pendergrass, notableWork, “Love T.K.O.”]
-
A.
Love T.K.O.
chosen
"Love T.K.O." is a classic soul ballad, best known from Teddy Pendergrass’s 1980 recording, celebrated for its smooth groove and themes of romantic struggle and emotional resilience.
-
B.
"Love Today"
"Love Today" is a lively pop song by British singer-songwriter Mika, known for its upbeat tempo, falsetto vocals, and celebratory take on love and joy.
-
C.
Here to Love
"Here to Love" is a soulful rock song by Lenny Kravitz that promotes unity, compassion, and social justice.
-
D.
"Love Battlefield"
"Love Battlefield" is a 2004 Hong Kong action drama film starring Eason Chan that blends intense urban violence with a tragic love story.
-
E.
“Love Saw It”
“Love Saw It” is an R&B song best known as a duet by Karyn White and Babyface, recognized for its soulful vocals and romantic theme.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de05c419d481909230e8879b6dab5c |
completed | April 14, 2026, 9:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c1039128819086cfe9f966b9f142 |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.