Triple
T13610103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "I'll Be There for You" |
E325164
|
entity |
| Predicate | firstAiredAsTheme |
P102594
|
FINISHED |
| Object | 1994 |
—
|
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: 1994 | Statement: ["I'll Be There for You", firstAiredAsTheme, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAiredAsTheme Context triple: ["I'll Be There for You", firstAiredAsTheme, 1994]
-
A.
firstAiredAsThemeOn
chosen
Indicates that a work (such as a song or composition) was first broadcast or publicly introduced as the theme for another work (such as a show, series, or program).
-
B.
firstAiredDuring
Indicates that one event or media item originally premiered or was first broadcast within the time period defined by another entity.
-
C.
firstAiredWith
Indicates that one entity was initially broadcast or released at the same time as another entity.
-
D.
firstAired
Indicates the date on which something (such as a show, episode, or broadcast content) was first aired or publicly transmitted.
-
E.
originallyAiredAs
Indicates that one work or episode was first broadcast under a particular title, format, or context.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae1b3ee481909bd43ded6227a3e5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:50 p.m.