Triple
T4824657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Moynihan |
E107792
|
entity |
| Predicate | starredIn |
P1668
|
FINISHED |
| Object | Me, Myself & I |
E473339
|
NE 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: Me, Myself & I | Statement: [Bobby Moynihan, starredIn, Me, Myself & I]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Me, Myself & I Context triple: [Bobby Moynihan, starredIn, Me, Myself & I]
-
A.
Me, Myself & I
chosen
Me, Myself & I is an American sitcom that follows one man's life across three distinct time periods, exploring how his experiences shape him from adolescence to old age.
-
B.
Me, Myself and I
"Me, Myself and I" is a soulful R&B ballad by Beyoncé that reflects on self-reliance and personal strength after heartbreak.
-
C.
By Myself
"By Myself" is a popular song by composer Arthur Schwartz and lyricist Howard Dietz, best known from its inclusion in the classic MGM musical film *The Band Wagon*.
-
D.
Another Me
Another Me is a psychological thriller film about a teenage girl haunted by a mysterious doppelgänger that blurs the line between reality and paranoia.
-
E.
Looking 4 Myself
Looking 4 Myself is a 2012 studio album by American R&B singer Usher that blends R&B, pop, and electronic influences.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cadb2bc81909455149e46eb593a |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cb34004819086809b4a7071f4a5 |
completed | March 21, 2026, 8:54 a.m. |
Created at: March 20, 2026, 1:24 p.m.