Triple
T17886895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hourman |
E447221
|
entity |
| Predicate | powerSource |
P1585
|
FINISHED |
| Object | Miraclo |
—
|
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: Miraclo | Statement: [Hourman, powerSource, Miraclo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miraclo Context triple: [Hourman, powerSource, Miraclo]
-
A.
Miraclo
chosen
Miraclo is a fictional super-serum in DC Comics that grants Rex Tyler (Hourman) enhanced abilities for a limited time.
-
B.
Milagro
Milagro is a city in Ecuador known as an important agricultural and commercial center, particularly for sugarcane and rice production.
-
C.
Milagros
Milagros is a coastal municipality in the province of Masbate in the Philippines, known for its fishing communities and rural agricultural economy.
-
D.
The Miracle
The Miracle is a theatrical production best known for featuring the celebrated English actress and socialite Lady Diana Cooper in a prominent role.
-
E.
Medalla Milagrosa
Medalla Milagrosa is a station on the Buenos Aires Underground, located in the city’s southeastern area and serving the Line E route.
- 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_69e49c13bd288190a0302010ba4d0532 |
completed | April 19, 2026, 9:10 a.m. |
Created at: April 10, 2026, 10:18 a.m.