Triple
T37718554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Invaders (comics) |
E939519
|
entity |
| Predicate | includesGoldenAgeCharacters |
P204358
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Invaders (comics), includesGoldenAgeCharacters, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesGoldenAgeCharacters Context triple: [Invaders (comics), includesGoldenAgeCharacters, true]
-
A.
hasGoldenAge
Indicates that an entity experiences or is associated with a peak period of exceptional success, prosperity, or achievement.
-
B.
containsHistoricCharacters
Indicates that something includes or features characters who are historically significant or based on real historical figures.
-
C.
hasAgeingProtagonist
Indicates that the work features a main character who is experiencing aging or the later stages of life as a central aspect of their role or development.
-
D.
captainInGoldenEra
Indicates that an entity served as the captain of a team or group during its historically defined "golden era" period.
-
E.
hasProtagonistAgeRange
Indicates that a work’s main character falls within a specified age range.
- 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_69f76edc208c8190bc8b9683f75e1024 |
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_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:18 p.m.