Triple
T17887877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anti-Life Equation |
E447241
|
entity |
| Predicate | firstAppearanceWork |
P3278
|
FINISHED |
| Object | Forever People #5 |
—
|
NE NERFINISHED |
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: Forever People #5 | Statement: [Anti-Life Equation, firstAppearanceWork, Forever People #5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forever People #5 Context triple: [Anti-Life Equation, firstAppearanceWork, Forever People #5]
-
A.
The Forever People
chosen
The Forever People is a DC Comics series created by Jack Kirby that follows a group of young New Gods from the planet New Genesis as part of his larger Fourth World saga.
-
B.
Young Forever
"Young Forever" is a pop-influenced song by British musician Mr Hudson that blends melodic hooks with reflective lyrics about youth and timelessness.
-
C.
Young Forever
"Young Forever" is a popular electropop single by The Ready Set known for its upbeat, catchy sound and youthful, carefree themes.
-
D.
Among People
Among People is an alternative title for the film "In the World."
-
E.
Five Hundred Faces
Five Hundred Faces is a song featured on the album "Harrow Songs."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c14c4348190bb77712d9eae1d51 |
completed | April 19, 2026, 9:10 a.m. |
Created at: April 10, 2026, 10:18 a.m.