Triple
T3646585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aidan Gillen |
E77315
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Love/Hate
Love/Hate is an Irish crime drama television series that follows the violent underworld of Dublin’s criminal gangs and their personal conflicts.
|
E375858
|
NE FINISHED |
How this triple was built (4 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, notableWork, Love/Hate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Love/Hate Context triple: [Aidan Gillen, notableWork, Love/Hate]
-
A.
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.
-
B.
Love and Hisses
Love and Hisses is a 1937 American comedy film best known for featuring comedian Bert Lahr in an early screen role.
-
C.
Here’s Love
"Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
-
D.
Strange Love
Strange Love is a reality television series that follows the tumultuous romantic relationship between Brigitte Nielsen and rapper Flavor Flav.
-
E.
Strange Love
"Strange Love" is a soulful, introspective R&B track by American singer-songwriter Cautious Clay that showcases his smooth vocals and atmospheric production.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Love/Hate Triple: [Aidan Gillen, notableWork, Love/Hate]
Generated description
Love/Hate is an Irish crime drama television series that follows the violent underworld of Dublin’s criminal gangs and their personal conflicts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Love/Hate Target entity description: Love/Hate is an Irish crime drama television series that follows the violent underworld of Dublin’s criminal gangs and their personal conflicts.
-
A.
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.
-
B.
Love and Hisses
Love and Hisses is a 1937 American comedy film best known for featuring comedian Bert Lahr in an early screen role.
-
C.
Here’s Love
"Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
-
D.
Strange Love
Strange Love is a reality television series that follows the tumultuous romantic relationship between Brigitte Nielsen and rapper Flavor Flav.
-
E.
Strange Love
"Strange Love" is a soulful, introspective R&B track by American singer-songwriter Cautious Clay that showcases his smooth vocals and atmospheric production.
- F. None of above. chosen
Provenance (5 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_69b44f394f9c8190881edc18b544dbb7 |
completed | March 13, 2026, 5:54 p.m. |
| NEDg | Description generation | batch_69b45347e364819080c0dac755405462 |
completed | March 13, 2026, 6:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b45f4640e881909b0e3b68cb899669 |
completed | March 13, 2026, 7:02 p.m. |
Created at: March 8, 2026, 3:24 p.m.