Triple
T22100528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phenomena |
E546157
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Phenomena |
—
|
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: Phenomena | Statement: [Phenomena, title, Phenomena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phenomena Context triple: [Phenomena, title, Phenomena]
-
A.
Phenomena
chosen
"Phenomena" is a 1985 Italian horror film directed by Dario Argento, known for blending giallo and supernatural elements and starring Jennifer Connelly and Donald Pleasence.
-
B.
Phenomenon
"Phenomenon" is a 1996 romantic fantasy drama film starring John Travolta, with Kyra Sedgwick in a key supporting role, about an ordinary man who suddenly develops extraordinary intellectual abilities.
-
C.
Phenomenon
"Phenomenon" is a 1997 hip hop single by LL Cool J that blends smooth rap delivery with a catchy, laid-back groove and became one of his notable late-1990s hits.
-
D.
Phaenomena
Phaenomena is an influential didactic poem by the Hellenistic poet Aratus that describes constellations, weather signs, and celestial phenomena, blending astronomy with mythology.
-
E.
Phänomen
"Phänomen" is a popular German pop schlager song by Helene Fischer, known for its catchy melody and frequent presence in her live performances.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291501508190ad5689be5abb2ba6 |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.