Triple
T38464742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miguel O'Hara |
E912534
|
entity |
| Predicate | firstSoloSeries |
P96646
|
FINISHED |
| Object |
Spider-Man 2099 #1
Spider-Man 2099 #1 is the debut issue of Marvel’s futuristic Spider-Man 2099 comic series, introducing Miguel O’Hara as the Spider-Man of the year 2099.
|
E2271427
|
NE FINISHED |
How this triple was built (3 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: Spider-Man 2099 #1 | Statement: [Miguel O'Hara, firstSoloSeries, Spider-Man 2099 #1]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Spider-Man 2099 #1 Triple: [Miguel O'Hara, firstSoloSeries, Spider-Man 2099 #1]
Generated description
Spider-Man 2099 #1 is the debut issue of Marvel’s futuristic Spider-Man 2099 comic series, introducing Miguel O’Hara as the Spider-Man of the year 2099.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSoloSeries Context triple: [Miguel O'Hara, firstSoloSeries, Spider-Man 2099 #1]
-
A.
firstSeries
Indicates that one entity is the initial or earliest series in an ordered sequence of related series.
-
B.
firstMajorSoloFor
Indicates that one entity is the first major solo work or performance created or undertaken by another entity.
-
C.
firstSeriesCode
Indicates that an entity is identified as the initial or primary series within a sequence, referenced by a specific code.
-
D.
hasSoloSeries
chosen
Indicates that an entity has its own dedicated solo series, separate from group or shared appearances.
-
E.
firstWinner
Indicates that the subject is the entity who achieved first place or victory in the referenced event or competition.
- F. None of above.
Provenance (6 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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41ccb715d08190aa11a361c828adae |
completed | June 29, 2026, 1:39 a.m. |
| NEDg | Description generation | batch_6a41ce4186748190a7a24dbfc4f8e0f4 |
completed | June 29, 2026, 1:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41cec6e9b081909c2036bd142be990 |
completed | June 29, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.