Triple
T23404769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Are You There, Chelsea? |
E559603
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Sloane
Sloane is a supporting character on the sitcom "Are You There, Chelsea?," known as one of Chelsea's close friends who often contrasts with her wilder personality.
|
E1584182
|
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: Sloane | Statement: [Are You There, Chelsea?, character, Sloane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sloane Context triple: [Are You There, Chelsea?, character, Sloane]
-
A.
Sloane
Sloane is a music producer known for working on the track "Off the Grid."
-
B.
Sloane
Sloane is a surname historically associated with prominent American families, including members of the Vanderbilt lineage.
-
C.
Sloane
Sloane is a central antagonist and complex intelligence operative from the television series "Alias," known for his obsession with the Rambaldi artifacts and morally ambiguous schemes.
-
D.
Sloane
Sloane is a feminine given name most notably associated with American professional tennis player Sloane Stephens.
-
E.
May Sloane
May Sloane is a brash, good-hearted former manicurist and the ambitious wife of Ray Winkler in Woody Allen’s crime-comedy film "Small Time Crooks."
- 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: Sloane Triple: [Are You There, Chelsea?, character, Sloane]
Generated description
Sloane is a supporting character on the sitcom "Are You There, Chelsea?," known as one of Chelsea's close friends who often contrasts with her wilder personality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sloane Target entity description: Sloane is a supporting character on the sitcom "Are You There, Chelsea?," known as one of Chelsea's close friends who often contrasts with her wilder personality.
-
A.
Sloane
Sloane is a surname historically associated with prominent American families, including members of the Vanderbilt lineage.
-
B.
Sloane
Sloane is a music producer known for working on the track "Off the Grid."
-
C.
Sloane
Sloane is a central antagonist and complex intelligence operative from the television series "Alias," known for his obsession with the Rambaldi artifacts and morally ambiguous schemes.
-
D.
Sloane
Sloane is a feminine given name most notably associated with American professional tennis player Sloane Stephens.
-
E.
May Sloane
May Sloane is a brash, good-hearted former manicurist and the ambitious wife of Ray Winkler in Woody Allen’s crime-comedy film "Small Time Crooks."
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4e27db88190b37375b38073291c |
completed | April 29, 2026, 6:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5df67cac8190868ab0068248be07 |
completed | May 19, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0c5ff391208190a1e5e5d3604de8fb |
completed | May 19, 2026, 1:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c609b4e108190a8abe634d326f62d |
completed | May 19, 2026, 1:07 p.m. |
Created at: April 17, 2026, 5:38 p.m.