Triple
T1005609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugh Marlowe |
E21702
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Another World |
E86899
|
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: Another World | Statement: [Hugh Marlowe, notableWork, Another World]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Another World Context triple: [Hugh Marlowe, notableWork, Another World]
-
A.
Another World
chosen
Another World is an American daytime soap opera that aired on NBC from 1964 to 1999, known for its complex, intergenerational storylines set in the fictional town of Bay City.
-
B.
What a World
"What a World" is a track featured on the hip hop album *Universal Mind Control* by Common.
-
C.
Savior
Savior is a Christian title for Jesus Christ, emphasizing his role as the divine redeemer who delivers humanity from sin and spiritual death.
-
D.
Save the Night
"Save the Night" is a song by John Legend from his R&B album "Love in the Future."
-
E.
Welcome to Paradise
"Welcome to Paradise" is a popular punk rock song by Green Day, best known from their breakthrough 1994 album "Dookie."
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b51303548190a5ee3c0797fc3245 |
completed | March 1, 2026, 9:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac2a1ecddc8190b954d16c6e269498 |
completed | March 7, 2026, 1:37 p.m. |
Created at: March 1, 2026, 7:41 p.m.