Triple
T34815678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tales of Suspense #79 |
E1003626
|
entity |
| Predicate | precedesIssue |
P194034
|
FINISHED |
| Object |
Tales of Suspense #80
Tales of Suspense #80 is a mid-1960s Marvel Comics issue of the anthology series featuring Iron Man and Captain America in separate stories during the Silver Age of comics.
|
E2114673
|
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: Tales of Suspense #80 | Statement: [Tales of Suspense #79, precedesIssue, Tales of Suspense #80]
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: Tales of Suspense #80 Triple: [Tales of Suspense #79, precedesIssue, Tales of Suspense #80]
Generated description
Tales of Suspense #80 is a mid-1960s Marvel Comics issue of the anthology series featuring Iron Man and Captain America in separate stories during the Silver Age of comics.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precedesIssue Context triple: [Tales of Suspense #79, precedesIssue, Tales of Suspense #80]
-
A.
precedesDisc
Indicates that one discourse segment or unit occurs before another in the sequence of discourse.
-
B.
precedesInStability
Indicates that one entity is more stable than another, coming earlier in an ordering based on stability.
-
C.
precedesInPublication
chosen
Indicates that one item is published or released before another in a temporal or sequential order.
-
D.
wasPrecededBy
Indicates that one event, state, or entity occurred or existed earlier in time than another.
-
E.
startsInIssue
Indicates that an event, process, or condition begins within the context or scope of a particular issue.
- 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_69f76db717088190811b4e744610f37d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd5f29b1988190877764ef2a399c7f |
completed | May 8, 2026, 3:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a377948adfc81909e04e97e235b97ab |
completed | June 21, 2026, 5:40 a.m. |
| NEDg | Description generation | batch_6a377a02724c8190a2ea67c5b5831aea |
completed | June 21, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a377ac60cd88190b1ea9540346df1c9 |
completed | June 21, 2026, 5:46 a.m. |
| PD | Predicate disambiguation | batch_69fd5e30194c819085b5ce586122ab37 |
completed | May 8, 2026, 3:53 a.m. |
Created at: May 3, 2026, 3:59 p.m.