Triple
T13064519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clan Lamont |
E329284
|
entity |
| Predicate | hasSept |
P60340
|
FINISHED |
| Object |
MacLimond
MacLimond is a Scottish family name that serves as a sept of Clan Lamont, historically associated with the clan’s territory in Argyll.
|
E1019060
|
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: MacLimond | Statement: [Clan Lamont, hasSept, MacLimond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MacLimond Context triple: [Clan Lamont, hasSept, MacLimond]
-
A.
O'Steen
O'Steen is a surname most notably associated with American film editor Sam O'Steen, known for his work on several acclaimed Hollywood films.
-
B.
Mulroy
Mulroy is a character from the film "The Terminal," known as one of the airport workers who befriends Viktor Navorski during his extended stay in the terminal.
-
C.
Max Lemon
Max Lemon is a film editor best known for his work on the Australian mystery drama "Picnic at Hanging Rock."
-
D.
Molinaro
Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
-
E.
Lindblom
Lindblom is a Swedish-origin surname borne by various notable individuals in academia, arts, and public life.
- 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: MacLimond Triple: [Clan Lamont, hasSept, MacLimond]
Generated description
MacLimond is a Scottish family name that serves as a sept of Clan Lamont, historically associated with the clan’s territory in Argyll.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MacLimond Target entity description: MacLimond is a Scottish family name that serves as a sept of Clan Lamont, historically associated with the clan’s territory in Argyll.
-
A.
O'Steen
O'Steen is a surname most notably associated with American film editor Sam O'Steen, known for his work on several acclaimed Hollywood films.
-
B.
Mulroy
Mulroy is a character from the film "The Terminal," known as one of the airport workers who befriends Viktor Navorski during his extended stay in the terminal.
-
C.
Max Lemon
Max Lemon is a film editor best known for his work on the Australian mystery drama "Picnic at Hanging Rock."
-
D.
Molinaro
Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
-
E.
Lindblom
Lindblom is a Swedish-origin surname borne by various notable individuals in academia, arts, and public life.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980e9bdfc81908eb90fb50597df64 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe630808190a9a3481127bbaa86 |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6d039254881909927b58225f194de |
completed | May 3, 2026, 4:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6d0d218d4819080273a151a0890d3 |
completed | May 3, 2026, 4:36 a.m. |
Created at: April 9, 2026, 8:59 p.m.