Triple
T15698808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joost Lips |
E380537
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lips
Lips is a Dutch surname borne by various individuals, including those of Flemish and Dutch origin.
|
E1172406
|
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: Lips | Statement: [Joost Lips, familyName, Lips]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lips Context triple: [Joost Lips, familyName, Lips]
-
A.
Cookie Lips
"Cookie Lips" is a song by the indie rock supergroup Nice As Fuck, known for its minimalist style and politically tinged, lo-fi sound.
-
B.
zur Lippe
zur Lippe is the noble family name of the German princely House of Lippe, historically ruling parts of what is now North Rhine-Westphalia.
-
C.
Hot Lips
Hot Lips is the nickname of Major Margaret Houlihan, the strict yet evolving head nurse character from the M*A*S*H franchise.
-
D.
LIP
LIP is the vehicle registration code for the town of Blomberg in the Lippe district of North Rhine-Westphalia, Germany.
-
E.
Lipschtick
Lipschtick is a collection of humorous personal essays by Jennifer Westfeldt and Heather Juergensen that inspired the romantic comedy film "Kissing Jessica Stein."
- 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: Lips Triple: [Joost Lips, familyName, Lips]
Generated description
Lips is a Dutch surname borne by various individuals, including those of Flemish and Dutch origin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lips Target entity description: Lips is a Dutch surname borne by various individuals, including those of Flemish and Dutch origin.
-
A.
Cookie Lips
"Cookie Lips" is a song by the indie rock supergroup Nice As Fuck, known for its minimalist style and politically tinged, lo-fi sound.
-
B.
zur Lippe
zur Lippe is the noble family name of the German princely House of Lippe, historically ruling parts of what is now North Rhine-Westphalia.
-
C.
Hot Lips
Hot Lips is the nickname of Major Margaret Houlihan, the strict yet evolving head nurse character from the M*A*S*H franchise.
-
D.
LIP
LIP is the vehicle registration code for the town of Blomberg in the Lippe district of North Rhine-Westphalia, Germany.
-
E.
Lipschtick
Lipschtick is a collection of humorous personal essays by Jennifer Westfeldt and Heather Juergensen that inspired the romantic comedy film "Kissing Jessica Stein."
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f6d71308190971c10c599da9645 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff7571f1888190b83af75ec9c7432b |
completed | May 9, 2026, 5:57 p.m. |
| NEDg | Description generation | batch_69ff76cdbddc81908c7350473195cdac |
completed | May 9, 2026, 6:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff77ab82d08190a3e6b08fd57587a3 |
completed | May 9, 2026, 6:06 p.m. |
Created at: April 10, 2026, 4:44 a.m.