Triple
T38068808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shilo Norman |
E950540
|
entity |
| Predicate | predecessorAsMisterMiracle |
P197116
|
FINISHED |
| Object | Scott Free |
—
|
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: Scott Free | Statement: [Shilo Norman, predecessorAsMisterMiracle, Scott Free]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: predecessorAsMisterMiracle Context triple: [Shilo Norman, predecessorAsMisterMiracle, Scott Free]
-
A.
predecessorInMyth
Indicates that one mythological figure, story, or element chronologically or narratively comes before and influences or sets the stage for another within a mythic tradition.
-
B.
predecessorAsBlueBeetle
Indicates that one entity is the immediate prior holder of the Blue Beetle mantle or role relative to another entity.
-
C.
predecessorRealName
Indicates that one entity is the real (actual) name of the predecessor of another entity.
-
D.
predecessorAvatar
Indicates that one avatar existed or was used before another avatar in a temporal or version sequence.
-
E.
predecessorAsPretender
Indicates that one entity previously held the status or role of pretender (claimant) to a title, position, or throne before another entity.
- F. None of above. chosen
Provenance (4 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_69f76f02a6c48190a94f3c0b3ee90cf2 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe779248c081909f0ed1a2a0df23db |
completed | May 8, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69fe76eaf6d48190998bc7168749cc42 |
completed | May 8, 2026, 11:51 p.m. |
| PDg | Predicate description generation | batch_69fe779167648190936bd49cc1049178 |
completed | May 8, 2026, 11:53 p.m. |
Created at: May 3, 2026, 4:21 p.m.