Triple
T24534138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stars in Their Eyes |
E606897
|
entity |
| Predicate | rebootYear |
P102435
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [Stars in Their Eyes, rebootYear, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rebootYear Context triple: [Stars in Their Eyes, rebootYear, 2015]
-
A.
rebootOf
Indicates that one work is a new version that restarts or reimagines the story, continuity, or franchise of another earlier work.
-
B.
reversionYear
Indicates the year in which something returns to a previous state, condition, or ownership.
-
C.
rebootPremiereDate
chosen
Indicates the date on which a rebooted version of a work (such as a series or franchise) is first released or premieres.
-
D.
rebootAired
Indicates that a rebooted version of a show, series, or franchise has been broadcast or released.
-
E.
revivalYear
Indicates the year in which something (such as a work, practice, or institution) was brought back into active use or renewed after a period of decline or inactivity.
- F. None of above.
Provenance (3 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_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:25 a.m.