Triple
T5595280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | It's Like That |
E146981
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Manuel Seal |
E142766
|
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: Manuel Seal | Statement: [It's Like That, writer, Manuel Seal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manuel Seal Context triple: [It's Like That, writer, Manuel Seal]
-
A.
Manuel Seal
chosen
Manuel Seal is an American songwriter and producer best known for his work on 1990s R&B hits, particularly collaborations with artists like Usher and Mariah Carey.
-
B.
Juan Cailles
Juan Cailles was a Filipino military leader and later politician known for his prominent role in the Philippine Revolution and the Philippine–American War.
-
C.
Don Fernando
Don Fernando is the king’s minister in Beethoven’s opera "Fidelio," who appears at the end to restore justice and free the unjustly imprisoned Florestan.
-
D.
Manuel Vega
Manuel Vega is a designer best known for his work on the Moonman character.
-
E.
Manuel Philes
Manuel Philes was a prominent late Byzantine poet known for his didactic and occasional verse, which provides valuable insight into the culture and society of the Palaiologan era.
- 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_69c009043d648190a7af89698ccf1e3e |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020be029881908c5586838382c8f2 |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a00985881909d441cfe05cb6afe |
completed | March 22, 2026, 9:07 p.m. |
Created at: March 22, 2026, 3:38 p.m.