Triple
T18643834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Match.com |
E455753
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object |
eHarmony
eHarmony is an online dating platform known for its detailed compatibility-based matching system designed to foster long-term relationships.
|
E1335162
|
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: eHarmony | Statement: [Match.com, competitor, eHarmony]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: eHarmony Context triple: [Match.com, competitor, eHarmony]
-
A.
Match.com
Match.com is one of the earliest and most prominent online dating services, connecting singles worldwide through its web and mobile platforms.
-
B.
Meetic
Meetic is a popular European online dating service that connects singles through web and mobile platforms.
-
C.
Matchmakers
Matchmakers is a popular Ukrainian comedy television series produced by Kvartal 95 Studio that follows the humorous clashes and relationships between two very different families.
-
D.
OkCupid
OkCupid is an online dating platform known for its detailed questionnaires and algorithm-based matching that focuses on compatibility and inclusivity.
-
E.
Lovehunter
Lovehunter is a 1979 hard rock album by British band Whitesnake, noted for its bluesy sound and controversial cover art.
- 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: eHarmony Triple: [Match.com, competitor, eHarmony]
Generated description
eHarmony is an online dating platform known for its detailed compatibility-based matching system designed to foster long-term relationships.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: eHarmony Target entity description: eHarmony is an online dating platform known for its detailed compatibility-based matching system designed to foster long-term relationships.
-
A.
Match.com
Match.com is one of the earliest and most prominent online dating services, connecting singles worldwide through its web and mobile platforms.
-
B.
Meetic
Meetic is a popular European online dating service that connects singles through web and mobile platforms.
-
C.
Matchmakers
Matchmakers is a popular Ukrainian comedy television series produced by Kvartal 95 Studio that follows the humorous clashes and relationships between two very different families.
-
D.
OkCupid
OkCupid is an online dating platform known for its detailed questionnaires and algorithm-based matching that focuses on compatibility and inclusivity.
-
E.
Lovehunter
Lovehunter is a 1979 hard rock album by British band Whitesnake, noted for its bluesy sound and controversial cover art.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5500b6d7c8190b807b772980d913c |
completed | April 19, 2026, 9:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d865fc48190a11ed96ebfdca50d |
completed | May 13, 2026, 11:47 p.m. |
| NEDg | Description generation | batch_6a051058f5788190b782a39feb7f6111 |
completed | May 13, 2026, 11:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0510fc0d1081908970c91357bb3444 |
completed | May 14, 2026, 12:02 a.m. |
Created at: April 10, 2026, 11:47 a.m.