Triple
T38530183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venom |
E923342
|
entity |
| Predicate | relationshipToSpiderMan |
P206513
|
FINISHED |
| Object | dark reflection of Spider-Man |
—
|
LITERAL 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: dark reflection of Spider-Man | Statement: [Venom, relationshipToSpiderMan, dark reflection of Spider-Man]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToSpiderMan Context triple: [Venom, relationshipToSpiderMan, dark reflection of Spider-Man]
-
A.
relationshipToMarvelUniverse
Indicates the nature or type of connection an entity has to the Marvel universe, such as affiliation, role, or relevance within that fictional setting.
-
B.
relationshipToHulk
Indicates the specific familial, social, or interpersonal connection an entity has with the Hulk.
-
C.
relationshipToWolverine
Indicates the specific interpersonal or familial connection an entity has with Wolverine.
-
D.
roleRelativeToBlackPanther
Indicates the specific narrative or functional role an entity has in relation to Black Panther (e.g., ally, enemy, family member, or other contextual position).
-
E.
relationshipToClarkKent
Indicates the specific personal, social, or familial connection that one entity has to Clark Kent.
- 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_69f76ea8f6348190a5c03fb6292bbee3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c85e308819083dd67b96f457659 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:32 p.m.