Triple
T3646603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aidan Gillen |
E77315
|
entity |
| Predicate | characterIn |
P12208
|
FINISHED |
| Object | Love/Hate |
E375858
|
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: Love/Hate | Statement: [Aidan Gillen, characterIn, Love/Hate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love/Hate Context triple: [Aidan Gillen, characterIn, Love/Hate]
-
A.
Love/Hate
chosen
Love/Hate is an Irish crime drama television series that follows the violent underworld of Dublin’s criminal gangs and their personal conflicts.
-
B.
Let Love
Let Love is a 2019 R&B and soul album by American rapper and actor Common that explores themes of spirituality, personal growth, and emotional vulnerability.
-
C.
Love and Hisses
Love and Hisses is a 1937 American comedy film best known for featuring comedian Bert Lahr in an early screen role.
-
D.
Here’s Love
"Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
-
E.
Strange Love
Strange Love is a reality television series that follows the tumultuous romantic relationship between Brigitte Nielsen and rapper Flavor Flav.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3895198819090a17a8894e91d00 |
completed | March 8, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48836f5d08190bbf0b6410ed6f766 |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:24 p.m.